Lead Data Engineer

The Openwork Partnership
Swindon
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead/Senior Data Engineer

Lead Data Engineer - Manchester - Hybrid - £75k - £80k

Lead data Engineer - Financial Markets - Day rate

Lead Data Engineer

The opportunity

As Lead Data Engineer, you'll provide technical leadership and mentorship of the Data Engineering team helping them in the design, development, testing, and deployment of quality data analytics solutions and services.

This is a pivotal role in supporting the Partnership to be truly data led by equipping them with robust data platforms

The benefits:

Salary - up to £80,000
Bonus scheme - on target bonus -15%
Pension scheme - contribute up to 5% of your salary and Openwork will match you and put in an extra 5%
Critical illness cover
Income protection
Death in service 
25 days holiday + bank holidays, with the opportunity to buy up to an additional 10 days
A range of other flexible benefits to include private medical insurance, dental insurance and much more.

Key Accountabilities:

Providing technical leadership by staying up to date on the latest technologies and trends and using that knowledge to help the team develop innovative and effective solutions Ownership of the technical solutions Mentorship Understanding and translating user requirements into technical specifications Designing and Implementing data solutions Writing and testing code Debugging and fixing software defects Maintaining and updating software Working with data engineers, trainers and stakeholders

What will you need to succeed?

Qualifications/ Experience:Strong commercial experience of data engineering and a proven track record of developing data solutions at the enterprise levelKnowledge:SQL Server (TSQL) Cloud services (Microsoft Azure preferably) SSIS, SSRS § Data modelling/ Power BI Data Warehouse and Report Layer design Strong SQL/database querying skills Microsoft BI (full stack) expertise (desirable) Azure DevOps Pipelines Azure Synapse experience (desirable) Azure Databricks experience (desirable)  Knowledge of Azure portal and Azure services Knowledge of Agile working and Azure DevOps Experience of data testingSkills and Competencies:Strong communication skills to be effective with both technical and non-technical audiences. Adaptable to change and open to new ideas with a willingness to help facilitate change A strong focus on delivery and delighting your customer Creative thinker Ability to apply sound judgement to situations needing balance between time and accuracy Strong stakeholder management skills

Why us?

We're a dynamic, fast paced, and growing business with huge ambition. This is all made possible by the brilliant people who are part of The Openwork Partnership family. We're investing heavily in our colleagues, continuously striving to give them the platform to develop personally and professionally and reach their full potential.

We’re also very proud of our culture, as one of the Best 100 Large Companies to work for in 2022. The Openwork Partnership values, and respects individuality and we are committed to building an inclusive culture and environment which truly recognises and celebrates our colleague’s individual differences and identities – just like our financial advice, for us, it’s personal. We believe everyone can make a difference and your race, religion, disability, and gender will never be a barrier. At Openwork, we have a strong ethic of care for each other where you can balance a successful career with your commitments and interests outside of work. We believe that you will bring your best self to work if you are trusted to choose when, where and how you do it.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.