Find More Than 10K+
United Kingdom Jobs

Lead Data Engineer

London, Hybrid

Permanent, Full-time

£75,000 - £95,000

We have an exciting opportunity for a talented individual to join our dynamic team based in the UK. As part of the Data & Analytics program, you will be at the forefront of using data and insights to tackle critical business challenges, driving growth and operational excellence.

Key Responsibilities:

• Develop and optimize data architecture and pipelines in line with business goals
• Solve complex data problems to deliver valuable insights for achieving business objectives
• Create data products to enhance productivity for engineers, analysts, and data scientists
• Advise, mentor, and coach colleagues on data standards and practices
• Foster a culture of sharing, scalability, stability, and operational efficiency in data solutions
• Define and execute the Analytics Data Engineering roadmap, collaborating with enterprise BI for enhanced data lake and real-time reporting
• Lead process improvement and project management engagements for business units and cross-divisional initiatives
• Evaluate, implement, and deploy emerging tools and processes to improve team productivity
• Communicate and educate on analytic data engineering capabilities, standards, and processes
• Collaborate with machine learning engineers, BI, and solutions architects on technical architectures for strategic projects

Job Specifications/Qualifications:

• Master's degree in relevant field (computer science, software development, mathematics, etc.)
• 6+ years of experience in a rapid development environment, preferably within analytics
• Ability to work with internal and external stakeholders effectively
• Experience in enhancing code quality and implementing best practices across teams
• Advanced technical skills in SQL, scripting languages (preferably Python), API consumption, and ETL tooling
• Knowledge and experience in modeling techniques and tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka
• Experience querying databases (SQL, Hive) and working with big data platforms (Hadoop ecosystem, Azure, SAP HANA, Apache Spark)
• Familiarity with data visualization tools like Tableau, Power BI, D3, and ggplot

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.