Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Arreoblue

At a Glance

  • Tasks: Deliver data value through innovative projects and fast execution.
  • Company: Join a dynamic team at Arreoblue, a leader in data technology.
  • Benefits: Enjoy competitive holidays, flexible working, and training opportunities.
  • Other info: Fully remote work with a focus on collaboration and community engagement.
  • Why this job: Make an impact in the evolving data landscape while growing your skills.
  • Qualifications: Proven experience with SQL, Python, and data technologies.

The predicted salary is between 36000 - 60000 £ 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.

Certifications (at least one)

  • Microsoft Certified: Fabric Data Engineer Associate

Experience & Background

  • 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.

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Senior Data Engineer employer: Arreoblue

At Arreoblue, we pride ourselves on being an exceptional employer that champions innovation and professional growth in the data industry. Our commitment to flexible working arrangements, comprehensive training packages, and a culture of inclusivity ensures that every team member can thrive while contributing to impactful projects. With a focus on collaboration and community engagement, we empower our employees to share their expertise and develop their skills in a supportive environment.
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 in the data field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a role that fits your skills.

✨Tip Number 2

Prepare for those interviews! Brush up on your technical skills, especially SQL and Azure platforms. Practice explaining complex concepts in simple terms, as you'll need to relay technical info to non-tech folks.

✨Tip Number 3

Show off your passion for data! Share your projects, blogs, or contributions to the community on platforms like LinkedIn. This not only showcases your expertise but also aligns with our values of innovation and sharing knowledge.

✨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 proactive about their job search!

We think you need these skills to ace Senior Data Engineer

Microsoft Intelligent Data Platform
SQL
Databricks
Dedicated SQL Pools
Synapse Analytics
Data Factory
Apache Spark
Python
Azure Data Lake
Azure Key Vault
Azure DevOps
Delta
Unity Catalog
Performance Tuning
Debugging

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let your love for data shine through! Share specific examples of projects or technologies that excite you. We want to see that you live and breathe data just like we do.

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with the Microsoft Intelligent Data Platform stack and any relevant technologies. We’re looking for specifics, so don’t hold back!

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. Remember, you might be relaying this info to non-technical folks, so clarity is key!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at Arreoblue

✨Know Your Tech Stack

Make sure you have a solid understanding of the Microsoft Intelligent Data Platform stack and the associated technologies mentioned in the job description. Brush up on your SQL, Apache Spark, and Python skills, as well as your knowledge of Databricks and Azure platforms. Being able to discuss these confidently will show that you're ready to hit the ground running.

✨Showcase Your Problem-Solving Skills

Prepare examples from your past experiences where you've successfully solved complex data problems. This could be through performance tuning, debugging, or implementing innovative solutions. Highlighting your ability to tackle challenges will resonate well with the interviewers who value agility and efficiency.

✨Communicate Clearly

Since you'll need to relay technical information to non-technical audiences, practice explaining complex concepts in simple terms. Use analogies or real-world examples to make your points clearer. This skill is crucial for ensuring that everyone on the team is aligned and understands the data solutions being implemented.

✨Embrace Continuous Learning

Demonstrate your passion for data and commitment to personal development by discussing any recent training, certifications, or community contributions. Whether it's attending workshops, blogging, or participating in data events, showing that you're proactive about learning will align with the company's core values and culture.

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