Data Engineer
ago
Location
Waterloo, London
Hybrid
Salary
Competitive
Employment Type
Full Time
Experience Level
Entry
Junior
Mid
Senior
Expert
Our Client
Global Energy Company
SPECIALTY
Upstream/Downstream, Bio-Fuels, Integrated Gas, New Energies, Chemicals, Energy and Trading
INDUSTRY
Energy
Company Size
80000+ Employees
Aubay's Take
Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies.
Benefits from Aubay
At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.
25 Days Annual Leave
Work From Home Opportunities
Pension Scheme
Opportunities to Work Directly with our Client
Training Opportunities
Discount Holidays at I'Aero Chalet
Role Summary
Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualise and design data foundations and end-to-end solutions, including data platforms, to maximise value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions.
Required Skills and Experience
• Strong proficiency with cloud platforms: AWS, Azure, SAP
• Expertise in ELT development and automation with scalable pipeline design
• Mastery of data modelling techniques
• Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB,
Synapse, Glue, Airflow, Kinesis, Redshift)
• Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest
• Proven ability to coordinate incident, problem, and change management processes
• Strong communication skills with both technical and non-technical stakeholders
• Demonstrated experience in technical documentation and maintaining high-quality solution documentation
Desired skills and Experience
• Experience in project management or leading Agile/Scrum teams
• Experience with financial or operational planning tools (e.g., SAP BPC)
• Familiarity with external partner ecosystems and cross-functional delivery models
• Ability to mentor and guide junior engineers
• Experience contributing to enterprise-scale data transformation projects
• Knowledge of trading, supply, or energy domain data models
• Experience with MKDocs documentation
Role Responsibilities
• Design and deliver scalable, cloud-based data engineering solutions
• Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure
• Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality,
governance, and performance
• Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and
solutions
• Act as a subject matter expert, mentoring junior engineers and providing technical guidance
• Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution
• Present technical findings, reports, and recommendations to stakeholders
• Drive implementation efficiency across pilots and enterprise projects to maximize value delivery
• Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)
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