HoK Consulting - Technical Recruitment
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for a Lead Data Engineer based in the UK (hybrid, 2-3 days in Birmingham) with a focus on global banking projects. Key skills include SQL/NoSQL, ETL tools, and cloud platforms (AWS, Azure, GCP).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Birmingham, England, United Kingdom
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🧠 - Skills detailed
#NiFi (Apache NiFi) #Security #Big Data #Data Quality #Java #Azure #Cloud #Airflow #GCP (Google Cloud Platform) #Spark (Apache Spark) #SQL (Structured Query Language) #Data Science #Hadoop #Compliance #Data Engineering #Data Pipeline #Apache NiFi #"ETL (Extract #Transform #Load)" #Python #DevOps #AWS (Amazon Web Services) #Databases #Scala #NoSQL
Role description
Job Title: Lead Data Engineer
Duration: long-term contract
Location: UK Based Hybrid (x2-3 days from Birmingham)
Visa: No sponsorship available/ No PSW
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.
Job Title: Lead Data Engineer
Duration: long-term contract
Location: UK Based Hybrid (x2-3 days from Birmingham)
Visa: No sponsorship available/ No PSW
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.
