National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Engineer

Peaple Talent
Sheffield
1 week ago
Create job alert

Peaple Talent has partnered with a global digital engineering consultancy who are recruiting for a Lead Data Engineer on a permanent basis based out of their Sunderland office. You will have a great understanding of technology consultancy services along with fantastic communication and stakeholder engagement skills as this role will be client facing.


Skills and experience:

  • Proven experience as a Lead Data Engineer with a focus on Azure cloud services.
  • Experience of managing small teams whilst also being hands-on.
  • Strong database fundamentals including SQL/TSQL, performance and schema design.
  • Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake.

Technologies:

  • Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations.
  • ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation.
  • Proficiency in working with APIs and integrating them into data pipelines.
  • Strong programming skills in Python.
  • Experience of data wrangling such as cleansing, quality enforcement and curation e.g. using Azure Synapse notebooks, Databricks, etc.
  • Experience of data modelling to describe the data landscape, entities and relationships.
  • Experience with data migration from legacy systems to the cloud.
  • Experience with Infrastructure as Code (IaC) particularly with Terraform.
  • Proficient in the development of Power BI dashboards.
  • Strong focus on documentation and diagramming (e.g. ERDs).
  • Strong communication and teamwork skills to collaborate with cross-functional teams effectively.


It would be great if you have:

  • Azure Data Fundamentals DP-900 certification.
  • Azure Fundamentals AZ-900 certification.
  • Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management.
  • Machine Learning and AI development experience


Benefits:

  • Up to 10% bonus (based on company and personal performance).
  • An employer pension scheme
  • 25 days holiday + 8 bank holidays, with the option to carry forward or 'cash-in' 5 days each year
  • Life Insurance & Income protection
  • Enhanced Maternity Pay & Paternity Pay
  • Cycle to work scheme
  • Travel loan scheme
  • A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount
  • Free unlimited Udemy account for every employee to support their continuous learning and improvement

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.