Lead Data Engineer

Fruition Group
Leeds, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 100K

Job location

Leeds, United Kingdom

Tech stack

Java
Amazon Web Services (AWS)
Azure
Google BigQuery
Computer Programming
Information Engineering
ETL
Data Transformation
Data Security
Data Systems
Data Warehousing
Data Flow Control
Python
Performance Tuning
Data Processing
Sql Optimization
Data Management
Data Pipelines

Job description

Step into a senior, high impact data engineering role where your expertise shapes the technical strategy and delivery for multiple high profile clients. As a Lead Data Engineer, you will drive innovation, architect scalable and secure data platforms, and mentor talented engineers to deliver world class solutions. This role offers a rare opportunity to work on complex, industry leading projects that directly influence business decisions., * Own and lead the technical architecture and delivery of scalable data engineering solutions.

  • Provide technical leadership, mentorship, and guidance to Data Engineers within delivery teams.
  • Design and manage robust data pipelines, data platforms, and warehousing solutions.
  • Take a hands on approach on complex or high risk engineering components.
  • Define and promote best practices for data quality, performance, governance, and security.
  • Collaborate with clients, product managers, analysts, and software engineers to translate business needs into data solutions.
  • Ensure data platforms meet non-functional requirements such as reliability, scalability, and maintainability.
  • Shape engineering processes, tooling, and ways of working across teams.
  • Support engineers' technical development and progression.
  • Contribute to the consultancy's technical communities and quality forums.

Requirements

  • Proven experience designing and delivering scalable cloud based data engineering solutions.
  • Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow).
  • Advanced SQL skills, including optimisation and performance tuning.
  • Strong experience with ETL/ELT pipelines and data transformation frameworks.
  • Programming proficiency in Python, Scala, or Java for data processing.
  • Deep understanding of data warehousing concepts and best practices.
  • Experience maintaining reliable, production-grade data pipelines.
  • Excellent stakeholder management and client-facing communication skills.
  • Agile delivery experience and ability to shape team practices.
  • Analytical mindset with high attention to detail and quality.

Benefits & conditions

  • Competitive salary and benefits package including healthcare.
  • Opportunities for continuous professional development and technical growth.
  • Exposure to diverse projects across industries, building both technical and consulting expertise.
  • Mentorship and leadership opportunities within a collaborative engineering community.

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