13 System Engineering jobs in New Zealand
Data Platform Solution Engineer - Cloud & AI Data Platform - New Zealand
Posted 26 days ago
Job Viewed
Job Description
Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform for enterprise customers at Microsoft. Here, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
**About the role**
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Software Engineer - Java
Posted 7 days ago
Job Viewed
Job Description
• rite effective, scalable code. br> • D velop back-end components to improve responsiveness and overall performance. < r> • W ite unit tests and perform code reviews to ensure high-quality code. < r> • O timize application performance and scalability. < r> • W ite clean, efficient and well-documented code. < r> • I plement security and data protection solution. < r> • P rticipate in agile development processes, including sprint planning, daily stand-ups. < r> • S ay updated with new technologies and trends in AI, especially large language models, to drive innovation within our projects. < r>
Must-haves:
• A Bachelor's or Master's in Computer Science or any other related field. < r> • M nimum of 8 years Experience in Java development. < r> • E perience orGood understanding in JAVA 17 or Higher < r> • G od understanding of common design patterns in Java < r> • G od understanding of Java concepts such as generic programming < r> • E perience with Front End development < r> • E perience in Stream API < r> • E perience in Maven < r> • G od Understanding in XML/JSON. < r> • G od understanding in GIT < r> • K owledgeable in Linux OS < r>
Nice to have :
• C /CD Jenkins build system < r> • K owledge in Apache Nifi < r> • E perience in Docker Containerization < r> • E perience in developing/testing in Pyton < r> • k owledge GTS xml for SAP < r> • G od understanding with Large Language Models ( LLM )
C++ Software Engineer
Posted today
Job Viewed
Job Description
Are you ready to turbo charge your career and contribute to software product transformation, through cutting-edge technologies? Join my clients team in Christchurch as a C++ Software Engineering contractor with an innovative and industry-leading organisation. There are multiple roles available and we will consider hourly rate contractors or 1 - 2 years fixed term contact assignments.
As a Software Engineer you will play an important role in developing code that aligns with product and customer requirements. Your responsibilities will include:
C++, Java (Android) and AngularJS software development
Collaborating with clients and domain experts
Solve problems and address scope challenges
To excel in this position, you should have:
At least 5 years of experience in C++ application development.
Proficiency in Angular browser-based UI development
Competence in both Linux and Windows OS development
Familiarity with C++ unit testing and broader test automation.
Exposure to Agile development practices
Based in Christchurch, you'll enjoy a top of the market salary plus:
Great hourly rate or 1 - 2 fixed term salary
Free parking and secure covered bike sheds.
Access to an onsite gym and shower facilities.
An active social club
To find out more about this awesome role, APPLY NOW for a confidential discussion. Please note that candidates are required to have the right to work in New Zealand and preferably are living in Christchurch, New Zealand.
Civil Site Engineer – Energy Infrastructure Projects
Posted 25 days ago
Job Viewed
Job Description
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$80K–$100K + Company Vehicle + Full Medical
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Make your mark in creating sustainable energy and infrastructure solutions for generations to come!
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Career progression in a growing regional branch
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Be part of major energy sector builds: substations, cable trenching, and renewables
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Join a team that promotes from within and delivers technically complex work
About the Role
With a new branch opening and an internal promotion creating opportunity, we’re recruiting a Civil Site Engineer to join a highly capable and ambitious delivery team.
You'll lead boots-on-the-ground construction across energy infrastructure builds—from earthworks and trenching to concrete pads, cable ducts, and structural foundations. It’s a role with variety, autonomy, and real growth potential.
Key Responsibilities:
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Oversee site operations on energy projects (substations, power farms, HV trenching)
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Manage civil crews, subcontractors, plant, and materials
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Ensure all works meet H&S, quality, and program targets
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Report site progress to the Contracts Manager
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Mentor junior crew and contribute to a high-performing team culture
About You:
You will know how to run a tidy, productive site, and you’re confident delivering works that support critical energy infrastructure.
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2+ years' experience in civil construction/infrastructure
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Proven site leadership—earthworks, in-situ or precast concrete, cable trenching
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Comfortable reading plans, managing crews, and liaising with engineers
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Strong commitment to H&S and a hands-on, lead-by-example style
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Willingness to travel or work away when required
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Positive, motivated, and a natural communicator
About the company:
This is a well-established award winning mid-sized civil contractor with a strong track record delivering complex projects across NZ’s infrastructure sector. Their civil division is key to major energy, pipeline, and foundation works—and they’re known for developing leaders from within.
This role offers career growth, exposure to critical projects, and the chance to work with a forward-thinking team doing meaningful work across the country.
If you are ready for your next step APPLY NOW call 096005153 or email for further information.
Please note, only shortlisted applicants will contacted and that will be within 5 working days from receipt of your expression of interest
Software Engineer II -Azure Kubernetes Service
Posted 5 days ago
Job Viewed
Job Description
As a Software Engineer on the Azure Kubernetes Service resource provider team, you will work on the orchestrator that provides and manages Azure customer's Kubernetes clusters. You will interact with and develop deep understanding of other Azure services, Kubernetes control plane, and cloud-native tool chain in general. You will be involved in designing and implementing solutions at a global scale.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Advance the capabilities of Kubernetes and auxiliary components on Azure.
+ Improve quality of service for Microsoft Azure Kubernetes Service.
+ Balance pragmatism with vision; deliver continuous improvements to the team's process and codebase.
+ Build automation to prevent and/or remediate service problems from becoming production incidents.
+ Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, or Java
+ OR equivalent experience.
+ 3+ years of experience in commercial software development.
+ 1+ year(s) experience in building, shipping and operating reliable, distributed solutions.
+ 1+ year(s) experience engaging in site-reliability engineering practices.
**Other Requirements:**
+ Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Bachelor's Degree in Computer Science
+ OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, or Java
+ OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to,C, C++, C#, Go, or Java
+ OR equivalent experience.
+ 1+ year(s) experience with workload/container orchestration using Kubernetes or similar platforms.
+ 1+ year(s) experience in Linux.
#azurecorejobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Software Engineer II -Azure Kubernetes Service
Posted 5 days ago
Job Viewed
Job Description
As a Software Engineer on the Azure Kubernetes Service resource provider team, you will work on the orchestrator that provides and manages Azure customer's Kubernetes clusters. You will interact with and develop deep understanding of other Azure services, Kubernetes control plane, and cloud-native tool chain in general. You will be involved in designing and implementing solutions at a global scale.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Advance the capabilities of Kubernetes and auxiliary components on Azure.
+ Improve quality of service for Microsoft Azure Kubernetes Service.
+ Balance pragmatism with vision; deliver continuous improvements to the team's process and codebase.
+ Build automation to prevent and/or remediate service problems from becoming production incidents.
+ Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, or Java
+ OR equivalent experience.
+ 3+ years of experience in commercial software development.
+ 1+ year(s) experience in building, shipping and operating reliable, distributed solutions.
+ 1+ year(s) experience engaging in site-reliability engineering practices.
**Other Requirements:**
+ Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Bachelor's Degree in Computer Science
+ OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, or Java
+ OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to,C, C++, C#, Go, or Java
+ OR equivalent experience.
+ 1+ year(s) experience with workload/container orchestration using Kubernetes or similar platforms.
+ 1+ year(s) experience in Linux.
#azurecorejobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Software Engineer II -Azure Kubernetes Service
Posted 5 days ago
Job Viewed
Job Description
As a Software Engineer on the Azure Kubernetes Service resource provider team, you will work on the orchestrator that provides and manages Azure customer's Kubernetes clusters. You will interact with and develop deep understanding of other Azure services, Kubernetes control plane, and cloud-native tool chain in general. You will be involved in designing and implementing solutions at a global scale.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Advance the capabilities of Kubernetes and auxiliary components on Azure.
+ Improve quality of service for Microsoft Azure Kubernetes Service.
+ Balance pragmatism with vision; deliver continuous improvements to the team's process and codebase.
+ Build automation to prevent and/or remediate service problems from becoming production incidents.
+ Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, or Java
+ OR equivalent experience.
+ 3+ years of experience in commercial software development.
+ 1+ year(s) experience in building, shipping and operating reliable, distributed solutions.
+ 1+ year(s) experience engaging in site-reliability engineering practices.
**Other Requirements:**
+ Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Bachelor's Degree in Computer Science
+ OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, or Java
+ OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to,C, C++, C#, Go, or Java
+ OR equivalent experience.
+ 1+ year(s) experience with workload/container orchestration using Kubernetes or similar platforms.
+ 1+ year(s) experience in Linux.
#azurecorejobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
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Work from Home Lead Data Software Engineer
Posted 510 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
Optimize data storage, retrieval, and processing performance for ML workloads;
Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
Manage data versioning, storage, and access control for ML datasets;
Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
Must haves
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;
Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;
Strong proficiency in programming languages such as Python, Java, or Scala;
Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);
Experience with data warehousing solutions and data integration tools;
Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;
Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);
Excellent problem-solving skills and a collaborative mindset;
Excellent oral and written communication skills with a keen sense of customer service.
Nice to haves
Experience in ad/marketing environment
Experience working with Data Lakes
Experience with Scala
Experience with Glue/EMR/Redshift/Airflow
Experience with Terraform.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Work from Home Lead Data Software Engineer
Posted 510 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
Optimize data storage, retrieval, and processing performance for ML workloads;
Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
Manage data versioning, storage, and access control for ML datasets;
Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
Must haves
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;
Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;
Strong proficiency in programming languages such as Python, Java, or Scala;
Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);
Experience with data warehousing solutions and data integration tools;
Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;
Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);
Excellent problem-solving skills and a collaborative mindset;
Excellent oral and written communication skills with a keen sense of customer service.
Nice to haves
Experience in ad/marketing environment
Experience working with Data Lakes
Experience with Scala
Experience with Glue/EMR/Redshift/Airflow
Experience with Terraform.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Work from Home Lead Data Software Engineer
Posted 510 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
Optimize data storage, retrieval, and processing performance for ML workloads;
Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
Manage data versioning, storage, and access control for ML datasets;
Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
Must haves
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;
Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;
Strong proficiency in programming languages such as Python, Java, or Scala;
Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);
Experience with data warehousing solutions and data integration tools;
Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;
Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);
Excellent problem-solving skills and a collaborative mindset;
Excellent oral and written communication skills with a keen sense of customer service.
Nice to haves
Experience in ad/marketing environment
Experience working with Data Lakes
Experience with Scala
Experience with Glue/EMR/Redshift/Airflow
Experience with Terraform.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.