Lead Data Engineer

Gev Grid Solutions; England; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading energy technology company in the UK is seeking a Lead Data Engineer to develop and optimize data pipelines for AI solutions. The ideal candidate will have at least 5 years of experience in the energy sector, with proficiency in Python, SQL, and cloud platforms. This role offers the opportunity to work on ambitious projects within a dynamic international team, focusing on sustainable energy solutions and innovative technologies.

Benefits

Private health insurance

Flexible work agreements

Development opportunities

Qualifications

• Minimum 5 years of experience in the energy sector or related domains.
• Hands-on experience building and managing production-grade data pipelines.
• Experience with cloud platforms for deploying data systems.

Responsibilities

• Design and optimize data pipelines for AI solutions.
• Collaborate with cross-functional teams to develop data solutions.
• Monitor and optimize data pipeline performance.

Skills

Python

SQL

Scala

Java

ETL/ELT processes

Data modeling

Data visualization tools

Education

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

Tools

PostgreSQL

MongoDB

Cassandra

AWS

Azure

GCP

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. At GE Vernova - Grid Automation, you will have the opportunity to work on cutting‑edge projects that shape the future of energy.

Responsibilities

• Design and optimize data pipelines and platforms that power AI solutions at the edge and in the cloud. Collaborate closely with R&D, Grid Automation, and business units to deliver impactful, sustainable solutions across complex energy and industrial systems.
• 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.

Qualifications

• Minimum 5 years of experience in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation.
• Bachelor's, Master's, or PhD in Computer Science, Electrical/Computer Engineering, or 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 ability to translate insights into actionable business recommendations.

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 fulfill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotal role in integrating renewables onto the grid to drive a carbon‑neutral future. In 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 we're always driven to find the best solution. Our projects are unique and interesting, and you'll 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, you'll 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.