Senior Data Engineer

About This Opportunity

We are representing a confidential energy technology organization seeking a Senior Data Engineer to join their Flexibility team in London. This is a greenfield opportunity to establish foundational data capabilities for a team working at the cutting edge of energy system transformation.

As the team's first dedicated data engineer, you'll build scalable data infrastructure that enables products serving millions of users while supporting renewable energy integration and grid optimization. You'll work in a flat, agile environment where innovation and autonomy are core values.

Responsibilities

• Establish the team's data engineering capability and lead technical direction as their first full-time data engineer
• Build greenfield data engineering systems in AWS, providing a foundational layer for high-quality data processing and warehousing
• Design and implement scalable databases and APIs to support future projects across multiple teams
• Interface with the existing data warehouse built on Databricks, maintaining and developing critical data applications
• Upskill backend engineers with data expertise and act as a force multiplier on engineering impact
• Drive architectural improvements for long-term global scalability, robustness, and operational efficiency
• Champion knowledge sharing and documentation to strengthen platform effectiveness
• Represent the team within the cross-functional data community

What We're Looking For

Essential:

• Strong proficiency with SQL, Python, and the AWS data stack
• Ability to translate needs into solid requirements and design scalable solutions
• Quick learner who can understand new domain areas and visualize data effectively
• Team-oriented mindset with enthusiasm for ownership across diverse projects and tools

Highly Valued:

• Experience building efficient, scalable databases and APIs (Django, FastAPI)
• Proficiency with Kubernetes, Docker, Spark, and DataOps monitoring tools (DataDog, Grafana, Prometheus)
• Experience with Airflow for orchestration
• Familiarity with dbt for pipeline modeling
• Energy domain knowledge

Technical Stack: Python, Databricks Spark, dbt, SQL, Streamlit, Airflow, CircleCI, Parquet/Delta on S3, Terraform, Kubernetes, Postgres/Aurora, Django

Location: London, UK (hybrid preferred; fully remote considered for UK-based candidates)

How We Work With You

When you apply through Get A Job.ai, our recruitment team will screen your application and conduct an initial conversation to understand your experience and career goals. If there's a strong match, we'll submit your profile to our client for consideration. The client's process typically takes up to 4 weeks with flexibility around your schedule.

Please apply exclusively through Get A Job.ai and do not contact the client directly. Our recruiters will guide you through each stage and answer any questions you have about the opportunity.

Pay

Compensation details will be discussed during your initial conversation with our recruiting team, as our client maintains flexibility based on experience level.

Equal Opportunity: Get A Job.ai is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.