Lead Data Engineer (Databricks/Python) in UK #TSCM-40888
ELEKS Software Engineering and Development Office is looking for a Lead Data Engineer in the United Kingdom.ABOUT PROJECT
The customer is a British company producing electricity with zero carbon emissions. REQUIREMENTS
7+ years of experience in Data Engineering, including SQL and ETL (data validation, data mapping, exception handling)
2+ years of hands-on experience with Databricks
2+ years in a technical leadership role
Strong knowledge of Python
Practical experience with AWS services (e.g. S3, Redshift, Athena, Glue, Lambda)
Upper-Intermediate or higher level of English
Experience in energy-related domains (e.g. energy trading, utilities, power systems) — a strong advantage
Experience with geospatial data will be a plus
Ability to work on a dynamic, high-impact project in the energy sector
Comfortable collaborating with multinational teams and cross-functional stakeholders
Experience working in complex enterprise environments (defined processes, policies, and security protocols)
Strong interpersonal and clear, confident communication skills RESPONSIBILITIES
Lead design and delivery of robust ETL/ELT pipelines with a focus on data quality and resilience
Drive technical leadership across the data engineering stream: architecture, coding standards, and mentoring
Collaborate with analysts, stakeholders, and cross-functional teams to align data solutions with business needs
Build and optimize data infrastructure in AWS (S3, Redshift, Glue, Lambda, etc.)
Use Databricks + Python to transform and orchestrate data workflows
Ensure compliance with enterprise security, governance, and SDLC best practices
Communicate proactively and clearly across teams and stakeholders in a fast-moving, international environment WHAT WILL YOU GET WITH ELEKS
Close cooperation with a customer
Challenging tasks
Competence development
Team of professionals
Dynamic environment with a low level of bureaucracy
Apply Now
The customer is a British company producing electricity with zero carbon emissions. REQUIREMENTS
7+ years of experience in Data Engineering, including SQL and ETL (data validation, data mapping, exception handling)
2+ years of hands-on experience with Databricks
2+ years in a technical leadership role
Strong knowledge of Python
Practical experience with AWS services (e.g. S3, Redshift, Athena, Glue, Lambda)
Upper-Intermediate or higher level of English
Experience in energy-related domains (e.g. energy trading, utilities, power systems) — a strong advantage
Experience with geospatial data will be a plus
Ability to work on a dynamic, high-impact project in the energy sector
Comfortable collaborating with multinational teams and cross-functional stakeholders
Experience working in complex enterprise environments (defined processes, policies, and security protocols)
Strong interpersonal and clear, confident communication skills RESPONSIBILITIES
Lead design and delivery of robust ETL/ELT pipelines with a focus on data quality and resilience
Drive technical leadership across the data engineering stream: architecture, coding standards, and mentoring
Collaborate with analysts, stakeholders, and cross-functional teams to align data solutions with business needs
Build and optimize data infrastructure in AWS (S3, Redshift, Glue, Lambda, etc.)
Use Databricks + Python to transform and orchestrate data workflows
Ensure compliance with enterprise security, governance, and SDLC best practices
Communicate proactively and clearly across teams and stakeholders in a fast-moving, international environment WHAT WILL YOU GET WITH ELEKS
Close cooperation with a customer
Challenging tasks
Competence development
Team of professionals
Dynamic environment with a low level of bureaucracy
Apply Now