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

Nominate & Attend

Lead Cloud Data Engineer

Acorn Insurance and Financial Services Limited
Liverpool
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Manager

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Due to continued growth throughout the business, our tech team is levelling up to meet demands. Because of this exciting time, we are looking to recruit a

Lead Cloud Data Engineer

to join our tech team.
Sitting alongside the Data Science Director and Head of Database Administration & Development, this role will require you to perform cloud-based database engineering architecture, implementation, and optimisations.
Location:

Liverpool City Centre
Salary:

up to £80,000 depending on experience
Working Hours:

37.5 Hours per week, Monday to Friday, 9am to 5:30pm
What you will be doing:
Lead the design, development, and optimization of scalable data and pipelines in a cloud-based environment
Implement and manage data warehouses using Azure Synapse, ensuring data integrity and security
Build, deploy, and manage ETL processes to support real-time and batch data processing using tooling across the Azure estate, Databricks, PySpark, and SQL
Oversee data storage across both relational and non-relational databases, ensuring efficient data retrieval
Design and implement data security protocols to safeguard sensitive information
Collaborate with DBAs, the cloud architect, and end users to ensure seamless integration between data platforms and business needs
Manage the ingestion, transformation, and processing of large datasets utilizing big data tooling
Ensure optimal performance of data pipelines and infrastructure using cloud services such as Azure and AWS S3
Lead a team of data engineers, providing technical guidance and fostering a culture of continuous learning and improvement
What we are looking for:
5+ years of experience in data engineering
Expertise in Azure DWH and AWS Databricks
Strong programming skills in Python/PySpark or other relevant languages for data manipulation and ETL workflows
Proficiency in SQL and experience with both relational (e.g., SQL Server, MySQL) and non-relational databases (e.g., MongoDB, Cassandra)
Experience with AWS S3 and other AWS services related to big data solutions
Hands-on experience with big data tooling (Hadoop, Spark, etc.) for processing large datasets
In-depth understanding of data security best practices, including encryption, access controls, and compliance standards
Familiarity with ETL frameworks and the ability to build automated, scalable data pipelines
Strong problem-solving skills and the ability to translate business requirements into technical solutions
Excellent communication skills, and the ability to document processes
Experience with data streaming technologies (Kafka, Flink, etc.) would be preferred
Experience with graph/vector databases would be advantageous
Relevant certifications in Azure or AWS cloud technologies could be beneficial
About Acorn Insurance
We are a growing business with great opportunities to build your knowledge of the financial services industry. As a specialist insurance provider, we have 40 years of experience helping people secure motor insurance across all of the UK. We help more than 50,000 customers to find a policy that meets their needs and gives them the peace of mind that comes with high-quality insurance.
At Acorn Insurance, we provide full training and continuous coaching in-house; you will be given full in-depth FCA regulated industry knowledge and have all the tools necessary to help you personally grow your career with the business.
We celebrate difference and it’s important to us that we have a culture where our people feel respected and valued for who they are. We pride ourselves on being accessible and encourage inclusive environments where our people can always give and show the very best of themselves.
Why Acorn Insurance?
Acorn Insurance wants to give you more than a job; we want to give you a purpose and a career. So, what can we offer you as an employer? Some of the "your tomorrow" benefits you will receive include:
Enhanced Annual Leave entitlement starting at 31 days and potentially increasing to 35 days per year depending on grade & length of service (including bank holidays)
Additional Buy & Sell Holidays
Company Sick Pay Scheme
Company Paid Maternity & Paternity Leave
Generous Company Pension Scheme
A comprehensive Mental Health support system via the health assured Employee Assistance Programme (EAP)
A wide network of mental health first aiders.
Our very own reward and discount platform "Your tomorrow"
Fresh fruit deliveries twice a week
£250 Refer a friend bonus
Cycle to work scheme
Free eye test vouchers and a contribution towards the frames
Regular Employment Engagement including ongoing competitions with fantastic prizes
'The Acorn Group is a Great Place to Work 2024/5.'
A record number of Acorn employees completed the survey. The results overwhelmingly revealed that the group is welcoming, supportive, and a great place to forge a career.
There is always room for improvement though. We have big plans to improve even further in 2025.'
All roles are subject to DBS and Financial checks; any offer made will be conditional until checks are completed to a satisfactory standard.
Unfortunately, due to the length of training and complexity of the role, we can only accept applications from candidates who have at least one year remaining on their (Graduate/Post study work) visa. Unfortunately, we are unable to provide visa sponsorships.
At Acorn, we are committed to creating an inclusive and supportive work environment. We recognise that candidates may have specific needs and are happy to consider reasonable adjustments to the recruitment process and working environment to accommodate individual requirements. Whether it’s modifying equipment, adjusting working hours, or providing additional support, we aim to ensure all employees can perform at their best. If you require any reasonable adjustments, please let us know during the application or interview process, and we will work with you to ensure your needs are met.

#J-18808-Ljbffr

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

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.