Lead Data Engineer

Sunderland
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Join a leading independent company renowned for exceptional service and customer care. As the Lead Data Engineer, you will spearhead our efforts to transform into a data-driven organisation, utilising state-of-the-art technologies like Azure and Databricks.

Lead Data Engineer

Location: Sunderland, UK (Hybrid - up to 3 days work from home)
Job Type: Full-time, permanent
Salary: £80,000 per annum

Day-to-Day of the Role

Leadership & Mentoring: Lead a team of six Data Insight and Reporting Analysts, fostering a collaborative and innovative culture.
Data Engineering: Design and optimise data models using Azure Data Lakehouse and Databricks to enhance efficiency and scalability.
Data Technology Roadmap: Develop and enhance the data infrastructure to better support business needs.
Collaboration: Partner with stakeholders across the organisation to integrate data-driven insights into business processes.
Innovation: Continuously improve by integrating the latest Azure data technologies.
Governance: Maintain adherence to data governance, security, and regulatory standards.

Required Skills & Qualifications

Proven experience in data engineering, particularly with data lakehouse architectures; Databricks experience is a plus.
Proficiency in SQL and Python.
Strong background in Kimball data modelling and translating business requirements into technical solutions.
Experience in optimising solution cost and performance.
Expertise in Power BI data modelling and best practices.
Demonstrated leadership in mentoring technical teams.
Excellent communication skills, capable of presenting complex data concepts to non-technical stakeholders.
Practical experience with Azure Data Factory and building meta-data driven pipelines.
In-depth knowledge of data governance and security best practices.

Benefits

Hybrid working model, allowing flexibility to work from home.
Access to cutting-edge technology in a collaborative and innovative environment.
Opportunities for ongoing professional development.

What It's Like to Work for Us

We value our employees highly, offering extensive training and development opportunities, alongside a range of social activities and benefits.

To apply for the Lead Data Engineer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in this role

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.