Location: UK Based Hybrid (x2-3 days from Birmingham)
Overview:
We’re looking for a hands-on Lead Data Engineer to design, build, and optimize scalable data pipelines and infrastructure for global banking projects. You’ll lead a team, drive engineering best practices, and ensure data reliability, security, and compliance.
Key Responsibilities:
* Lead and mentor a team of data engineers, establishing best practices in data engineering.
* Design, build, and maintain scalable, secure, and reliable data pipelines and architectures.
* Develop and optimize ETL processes, integrating diverse data sources into unified platforms.
* Ensure data quality, governance, and compliance with regulatory requirements.
* Collaborate with data scientists, analysts, and IT teams to support analytical and business goals.
* Monitor, troubleshoot and enhance data performance and infrastructure.
Key Skills & Experience:
* Strong experience with SQL/NoSQL databases, data warehousing, and big data (Hadoop, Spark).
* Proficient in Python, Java, or Scala with solid OOP and design pattern understanding.
* Expertise in ETL tools, DevOps and orchestration frameworks (Airflow, Apache NiFi).
* Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and their data services.
Seniority level
* Mid‑Senior level
Employment type
* Contract
Job function
* Information Technology
* Industries: Information Services, Technology, Information and Media, and Data Infrastructure and Analytics
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