At a Glance
- Tasks: Design and develop complex data solutions while mentoring junior engineers.
- Company: Join Arreoblue, a leading Data Analytics Consultancy with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible working, and professional development opportunities.
- Other info: Fully remote work with a culture that values collaboration and continuous learning.
- Why this job: Make a real impact in the data industry while growing your technical expertise.
- Qualifications: Experience in data engineering, Azure technologies, and strong communication skills required.
The predicted salary is between 70000 - 77000 £ per year.
Are you a technically strong data engineer looking to take the next step in your career? We’re looking for a Senior Data Engineer to join our growing team. In this role, you’ll deliver complex data solutions, contribute to enterprise-scale projects, and mentor more junior engineers. You’ll work across multiple domains, helping clients achieve measurable outcomes while building deep technical expertise and growing into a leadership role.
Who we are
Arreoblue is a Data Analytics Consultancy, specialising in fast execution of data projects from concept to delivery. Focusing on Retail, Manufacturing & Financial Services, we help our clients become data driven and make more effective decisions through data. We focus and measure ourselves on delivering fast Time to Value. We work with our clients to ensure that value is clear, and everything is understood leaving our clients with a platform for success that they can continue to build on. At Arreoblue we value humility, collaboration, excellence, innovation and trust. We seek individuals who want to grow and share their knowledge with our teams and customers.
What you will do
As a Senior Data Engineer, you will be responsible for delivering high‑quality, enterprise‑scale data solutions and supporting the technical success of projects. This role blends:
- Hands‑on technical expertise in your core domain(s)
- Consultancy and client‑facing delivery
- Mentorship of junior engineers and contribution to practice standards
- Delivery accountability, balancing quality and efficiency
You will:
- Design, develop, and support complex data pipelines and data platforms (Azure Databricks, Data Factory, Microsoft Fabric, Synapse, Dedicated SQL Pools).
- Ensure solutions meet standards for performance, scalability, security, and maintainability.
- Provide technical guidance across projects, contributing to architecture and solution design.
- Remain hands‑on when tackling complex or critical technical challenges.
- Contribute to defining and improving engineering practices, standards, CI/CD processes, and reusable frameworks.
- Mentor and coach Engineers and Junior Engineers, sharing knowledge and fostering technical excellence.
- Collaborate closely with client stakeholders and internal teams to ensure delivery aligns with business objectives.
- Support delivery risk management, ensuring projects are completed on time and to the required standard.
Key responsibilities
- Develop and test high‑quality, maintainable data solutions aligned with engineering standards.
- Deliver data platforms and pipelines in Azure Data Platform, including Databricks, Data Factory, Microsoft Fabric, Synapse, Dedicated SQL Pools.
- Contribute to architectural decisions and optimisation of data models, queries, and pipelines.
- Implement best practices for code quality, testing, CI/CD, and reusable delivery components.
- Mentor and support Junior Engineers, enabling technical progression and knowledge sharing.
- Collaborate with Lead Engineers and Principals to ensure alignment with practice standards and client requirements.
- Participate in client workshops, discovery sessions, and technical discussions, contributing expertise to solution design.
- Ensure technical solutions are robust, scalable, and commercially viable.
How you will do it
To be successful in this role you will be required to have the following:
Technical Expertise- Strong hands‑on experience in modern Lakehouse and SQL/MPP architectures.
- Solid knowledge of Azure Data Platform technologies: Microsoft Fabric, Azure DevOps and CI/CD pipelines.
- Proficiency in Python, Spark, and SQL.
- Experience in performance tuning, data optimisation, and cloud best practices.
- Understanding of distributed systems, security, governance, and networking.
- Comfortable operating in client‑facing environments.
- Ability to translate technical solutions into business value.
- Strong communication and collaboration skills.
- Experience mentoring engineers and supporting technical development within a team.
- Microsoft Certified: Fabric Data Engineer Associate
- Track record of technical delivery across multiple projects or domains.
- Experience mentoring junior engineers or supporting technical growth within a team.
- Degree in Computer Science, Data Engineering, or related discipline (or equivalent experience).
Why choose Arreoblue?
As partners with Microsoft and Databricks, we offer an expansive range of training, knowledge, and opportunities within the data and delivery industry. We are committed to investing in our people, and this is reflected in our team’s culture and approach to work. We love data and are deeply engaged with the fast‑evolving technologies and communities around it. We encourage our employees to blog, attend, contribute, and present at delivery and / or data events – no matter how big or small. We are fully committed to supporting your professional development.
What you will get in return
- Competitive salary up to £77,000 depending on experience (excluding bonus & benefits)
- Competitive Holidays
- Pension Contributions
- Private Healthcare (following successful probation)
- Company Discretionary Performance‑Based Bonus
- Training & Development Packages
- Flexible Working
- Paid Events & Company Days
- Eligible for Company options scheme
Location(s)
We are a fully remote company but love spending time with our customers so we like to be present and on site with them when we can – at least once a week. All candidates must reside and be eligible to work in the UK to be considered for this role. We are unable to offer VISA sponsorship at this time. We encourage flexible working in terms of both hours and location, with the expectation that employees may get together from time to time. Any required travel to clients will be covered by us. Arreoblue is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Senior Data Engineer employer: Arreoblue
Contact Detail:
Arreoblue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your hands-on experience with Azure Data Platform technologies and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don't forget to mention your mentoring experience and how you can help junior engineers grow.
Showcase Your Technical Skills: In your application, be sure to showcase your technical expertise in Python, Spark, and SQL. We love seeing examples of how you've tackled complex data challenges and delivered high-quality solutions in previous roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, we can't wait to see what you bring to the table!
How to prepare for a job interview at Arreoblue
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Data Platform technologies, especially Databricks, Data Factory, and SQL. Be ready to discuss your hands-on experience with these tools and how you've used them to deliver complex data solutions in the past.
✨Showcase Your Mentorship Skills
Since this role involves mentoring junior engineers, be prepared to share specific examples of how you've supported others in their technical growth. Highlight any successful projects where you played a key role in guiding less experienced team members.
✨Demonstrate Problem-Solving Abilities
Expect to face some technical challenges during the interview. Prepare to discuss how you've tackled complex issues in previous roles, focusing on your approach to performance tuning, data optimisation, and ensuring robust solutions.
✨Align with Company Values
Arreoblue values humility, collaboration, and innovation. During your interview, reflect these values in your answers. Share experiences that demonstrate your ability to work well in teams and your commitment to delivering high-quality results for clients.