Lead Data Engineer

GE Vernova; Stafford; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading energy solutions company seeks a Lead Data Engineer in Stafford, UK. The role involves designing and optimizing data pipelines for AI applications. Candidates should have at least 5 years of experience in large multinational settings, with proficiency in Python, SQL, and cloud platforms like AWS. You will work closely with R&D to deliver impactful solutions and ensure high-quality data governance. Benefits include competitive compensation and opportunities for professional growth.

Benefits

Private health insurance

Flexible work agreements

Competitive benefits

Qualifications

• Minimum of 5 years experience in data engineering roles.
• Proficiency in one additional programming language (e.g., Scala, Java).
• Strong knowledge of relational and NoSQL databases.

Responsibilities

• Design and optimize data pipelines for AI solutions.
• Collaborate with teams to meet business needs through data.
• Implement data quality checks and adhere to governance best practices.

Skills

Python

SQL

Data management

Collaboration

Data visualization

ETL / ELT processes

Education

Bachelor's, Master's, or PhD in Computer Science or related field

Tools

PostgreSQL

MongoDB

AWS

Azure

Apache Spark

Job description

Job Description Summary

We are seeking a Lead Data Engineer with solid experience typically gained over a minimum of 5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation with a strong track record of building robust data infrastructures for AI / ML initiatives.

In this position you will be responsible for designing and optimizing data pipelines and platforms that power AI solutions at the edge and in the cloud. You will collaborate closely with R&D Grid Automation and business units to deliver impactful sustainable solutions across complex energy and industrial systems.

Job Description

Key Responsibilities

• Design and maintain database structures schemas and data models.
• Apply appropriate storage technologies (Relational NoSQL Data Lakes etc.) to ensure secure and efficient data management.
• Build and manage scalable reliable data pipelines for data cleaning transformation feature extraction and processing of both structured and unstructured data.
• Integrate data from internal and external APIs ensuring seamless and automated data flows.
• Identify and onboard new datasets that enhance our AI / ML capabilities and support product development.
• Automate data integration processes and standardize data transformations based on business-specific needs.
• Monitor and optimize pipeline performance to ensure scalability and efficiency.
• Implement data quality checks and adhere to data governance best practices.
• Collaborate closely with Data Scientists and ML Engineers to ensure delivery of high-quality relevant data.
• Work cross-functionally with Product Management R&D and Engineering to translate business needs into technical data solutions.

Must-Have Qualifications

• Experience typically gained over 5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation.
• Bachelors Masters or PhD in Computer Science Electrical / Computer Engineering or a related field with a focus on data engineering or electric power systems.
• Hands-on experience building and managing production-grade data pipelines.
• Proficiency in Python SQL and one additional language (e.g. Scala Java).
• Strong knowledge of relational databases (e.g. PostgreSQL) and NoSQL databases (e.g. MongoDB Cassandra).
• Experience working with cloud platforms like AWS Azure or GCP for deploying data systems.
• Solid understanding and hands-on experience with ETL / ELT processes and workflow automation.

Experience with data architectures supporting GenAI models.

Strong communication and collaboration skills; able to work cross-functionally in fast-paced environments.

Nice-to-Have Skills

• Familiarity with big data technologies like Apache Spark Kafka or Hadoop.
• Experience with data visualization tools (e.g. Tableau Power BI ) for reporting and dashboard creation.
• Knowledge of Graph Databases and cloud-based data warehousing solutions (e.g. Snowflake Redshift ).
• Data storytelling and the ability to translate insights into actionable business recommendations.

At GE Vernova - Grid Automation you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.

About GEV Grid Solutions

At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.

Why we come to work

At GEV our engineers are always up for the challenge - and were always driven to find the best solution. Our projects are unique and interesting and youll need to bring a solution-focused positive approach to each one to do your best. Surrounded by committed loyal colleagues if you can dare to bring your ingenuity and desire to make an impact youll be exposed to game-changing diverse projects that truly allow you to play your part in the energy transition.

What we offer

A key role in a dynamic international working environment with a large degree of flexibility of work agreements

Competitive benefits and great development opportunities - including private health insurance.

Additional Information

Relocation Assistance Provided : No

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL, Data,Data Warehouse,Kafka,Scala

Employment Type

Full-Time

Experience

years

Vacancy

1