Lead Data Engineer

Lead Data Engineer

Posted 4 days ago by HOK Consulting - Technical Recruitment Consultancy

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Negotiable
Undetermined
Hybrid
Birmingham, England, United Kingdom
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Apache NiFi Apache Spark Banking Big Data Cloud Computing Cloud Technology Data Engineering Data Governance Data Quality Data Warehousing Extract Transform Load (ETL) Google Cloud Platform (GCP) Java (Programming Language) Microsoft Azure Object-Oriented Programming (OOP) Python (Programming Language) Scala (Programming Language)

Summary: We are looking for a hands-on Lead Data Engineer to design, build, and optimize scalable data pipelines for global banking projects. This role involves leading a team, driving best practices, and ensuring data quality, reliability, and compliance. The position is based in Birmingham, UK, and operates on a hybrid working model. The ideal candidate will have extensive experience in data engineering and cloud platforms.

Key Responsibilities:

  • Lead and mentor data engineering teams
  • Design and maintain scalable, secure data architectures
  • Develop and optimize ETL processes
  • Collaborate with cross-functional teams to deliver data-driven solutions

Key Skills:

  • Strong SQL/NoSQL, data warehousing, and big data (Hadoop, Spark) expertise
  • Proficient in Python, Java, or Scala with solid OOP principles
  • Skilled in ETL tools and orchestration frameworks (Airflow, NiFi)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of data governance and compliance

Salary (Rate): undetermined

City: Birmingham

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Lead Data Engineer

Location: Hybrid (3 days/week in Birmingham, UK)

Duration: Long-term Contract

Visa: Only UK/ILR/dependent visas (No STudents or PSW, No Sponsership availablie)

Overview: We’re seeking a hands-on Lead Data Engineer to design, build, and optimize scalable data pipelines for global banking projects. You’ll lead a team, drive best practices, and ensure data quality, reliability, and compliance.

Key Skills & Experience:

  • Strong SQL/NoSQL, data warehousing, and big data (Hadoop, Spark) expertise
  • Proficient in Python, Java, or Scala with solid OOP principles
  • Skilled in ETL tools and orchestration frameworks (Airflow, NiFi)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of data governance and compliance

Responsibilities:

  • Lead and mentor data engineering teams
  • Design and maintain scalable, secure data architectures
  • Develop and optimize ETL processes
  • Collaborate with cross-functional teams to deliver data-driven solutions
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