Data Engineering Lead
Certain Advantage are hiring for a Data Engineering Lead based in London.
This role is on an initial contract till the end of the year and is required to be onsite 3 days a week.
The successful candidate will lead the data acquisition function by defining ingestion strategy and building Azure-based data pipelines.
You will translate end-user requirements into scalable engineering solutions, act as the domain’s primary Data Manager for data governance, lineage, quality, and master data management, and lead a team of data engineers in delivering reliable, compliant, and high-value data solutions to Trading, Risk, Finance, and Operations.
Your responsibilities:
Own ingestion strategy and define scalable batch/streaming data patterns
Design and deliver Azure-based data pipelines and platform solutions
Standardize connectors, schemas, controls, CI/CD, IaC, and automated testing
Lead onboarding of enterprise and market data sources with SLAs and observability
Partner with Product Owners, Architects, and business stakeholders on data design and governance
Act as domain Data Manager for lineage, metadata, quality, access, and master data ownership
Ensure compliance with data lifecycle, audit, records management, and governance standards
Drive engineering best practices, operational excellence, and continuous improvement
Manage capacity planning, skills development, and vendor contributions
The individual:
Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark.
Experience with data modeling, metadata and lineage tooling; performance & cost optimization.
Proven leadership in engineering teams; Agile/DevOps ways of working; CI/CD; test automation.
Exposure to energy trading systems (ETRM/Endur), market data (ICE, Platts, Bloomberg), SAP.
Degree in Computer Science/Engineering or equivalent experience; Azure Data Engineer or Databricks certifications a plus.
Does this sound like your next career move? Apply today.
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