Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

First Central Insurance & Technology Group
Manchester
4 weeks ago
Create job alert

We’re 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And that’s the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!

Ready to take the next step in your data career within a fast-paced, dynamic environment? Today could be your moment. We're looking for a passionate and experienced Senior Data Engineer to join our forward-thinking technology and data teams.

In this hands-on technical role, you’ll be responsible for building technical data solutions for various projects and persistent data products. You’ll design and implement complex data pipelines and manage database population, ensuring the data solutions align with the technical design and overall data platform patterns.

Whilst the role does not include direct people management responsibilities, you’ll provide invaluable support, coaching and mentoring to data engineers and associate engineers, helping them develop and grow their skills.

We're big on flexibility - you'll spend most of your time working from home, with the occasional visit to the office, but of course, it’s your choice - if you prefer to be in the office more - that's good with us too. Our offices are in Haywards Heath West Sussex, Salford Quays Manchester, and Guernsey. If you're based further afield, we’re happy to consider applications from remote workers—just as long as you're located in the UK or Guernsey!

Core skills we’re looking for to succeed in the role:

Data & Technology: You’ll have a deep passion for data, analytics and technology, along with proven experience in designing and managing metadata-driven pipelines. Self-Starter: You proactively manage workloads, make informed decisions, and work independently to deliver results. Mentorship: You’ll lead by example, mentoring and inspiring fellow data professionals to grow and succeed. Data Lifecycle Expertise: You’ll appreciate the full data lifecycle and can demonstrate thoughtful upfront design while adhering to established standards and best practices. Cloud Data Engineering: You’ll bring deep expertise in data engineering across modern cloud platforms, delivering scalable and robust solutions.

What’s involved:

You’ll be responsible for contributing to the low-level design of data solutions, taking high level solution architecture artefacts and translating them into workable designs and work packages. You’ll be responsible for assuring the quality of data pipelines and database solutions built by data engineers, and their alignment to solution designs, patterns, and standards. You’ll contribute to coding standards and design patterns for data engineers to follow, ensuring safe, high quality, compliant code. You’ll develop high complexity, secure, governed, high quality, efficient data pipelines from a variety of on and off premise, internal and external data sources. You’ll ensure that data is cleansed, mapped, transformed, and optimised for storage to meet requirements for business and technical use cases. You’ll build data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies. You’ll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications. You’ll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re-use. You’ll carry out unit testing of own code, peer reviewing of others code to ensure appropriate quality, and be responsible for ensuring completeness of testing for data solution deliverables. You’ll maintain effective, and appropriate documentation that brings transparency and understandability to pipelines created and code created. You’ll coach and mentor Data Engineers & Associate Data Engineers. You’ll create high complexity BI solutions including data marts, semantic layer, and on occasion reporting & visualisation solutions in recognised BI tools such as Power Bi.

Experience & knowledge

Extensive experience of developing and implementing end-to-end data solutions in the cloud preferably in Azure. Experience engineering with big data technologies such as Databricks and/or Synapse Analytics, using PySpark. Solution design experience across end-to-end data solutions (sourcing to consumption) Experience in Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse Dedicated SQL pool and Azure SQL. Experience using programming languages such as Python, C# and PowerShell. Understanding of infrastructure as code. Experience using data modelling techniques through design and build. Experience producing technical and operational support documentation. Experience of testing techniques and tools. Proven to be an excellent communicator with a natural ability to build rapport with others. Keen and active interest in the use of data, with active external networks. Drives businesses to extract value from data. Extensive experience of the full data lifecycle. Will have been involved in the implementation of Continuous Integration / Continuous Delivery (CI/CD) methods. Experience of working in an agile environment and self-managing teams, and comfortable stepping forward to lead sprint teams. Good coach who enjoys helping others grow and develop.

Skills & Qualifications

An excellent creative problem solver who can deal with many different priorities at any one time. Able to turn an ambiguous business challenge into well-formed data solutions. Proactive and optimistic about what can be achieved and has an infectious positivity. Excellent time management and organisation skills with the ability to prioritise multiple demands and manage stakeholder expectations effectively. Supporting and enthusiastic team player, who others follow, focussed on delivering shared outcomes. Enjoys advising and supporting less experienced engineers. Able to follow, deliver changes to improve, standards and designs, ensuring their own work, and work of others, is of high quality.

This is just the be beginning. Imagine where you could end up! The journey’s yours to shape

What can we do for you?

People first. Always. We’re passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that’s what we offer. Our workplaces are energetic, inspirational, supportive. To get a taste of the advantages you’ll enjoy, take a look at all our perks in full .

Intrigued? Our Talent team can tell you everything you need to know about what we want and what we’re offering, so feel free to get in touch.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.