Jack & Jill
Lead Data Engineer (£49,600 - £74,400) at TPXimpact
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Job Title
Lead Data Engineer
Salary
£49,600 - £74,400
Company Description
TPXimpact is a purpose-driven digital transformation consultancy helping public and private sector organizations build a better future for people and the planet. By combining human-centered design with deep expertise in data, technology, and AI, they deliver sustainable, high-impact solutions that empower communities and modernize essential services across the UK.
Job Description
As a Lead Data Engineer at TPXimpact, you will oversee the design and optimization of large-scale data pipelines using modern cloud platforms. Leading a multidisciplinary team of up to 15, you’ll set engineering standards, champion data practices, and bridge the gap between technical complexity and strategic client goals to deliver meaningful digital change.
Location
UK Wide, UK
Why this role is remarkable
- Lead high-impact digital transformation projects for organizations across the public and private sectors, directly improving outcomes for individuals and communities nationwide.
- Join a mission-led company that balances commercial success with social and environmental responsibility, offering 30 days of holiday and two dedicated volunteer days.
- Influence the strategic direction of technical domains while managing complex 6-12 month delivery cycles within a collaborative, people-first culture focused on sustainable change.
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What You Will Do
- Lead the design, development, and management of scalable data pipelines using Python, PySpark, and SQL across major cloud platforms like Azure, AWS, or GCP.
- Coordinate and mentor multidisciplinary teams of 5-15 specialists, ensuring the delivery of high-quality data products while fostering a culture of technical excellence.
- Act as a trusted partner to stakeholders, translating complex technical architectures into clear business value and driving the adoption of modern data engineering standards.
The ideal candidate
- Extensive experience in data engineering and dimensional modeling with expertise in modern platforms like Microsoft Fabric, Databricks, and orchestration tools like Airflow.
- Proven ability to lead technical teams through ambiguity, managing delivery coordination, prioritization, and quality across multiple workstreams in a fast-paced consultancy environment.
- Strong proficiency in DevOps and CI/CD practices, coupled with the communication skills necessary to influence senior stakeholders and align solutions with enterprise data strategies.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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