At a Glance
- Tasks: Design and build scalable analytics with high-quality data modelling and Power BI.
- Company: Join Howden Markets, a leader in innovative analytics solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on continuous improvement.
- Why this job: Make an impact by shaping data strategies and driving analytics excellence.
- Qualifications: Experience in Databricks, SQL, and Power BI; strong collaboration skills.
The predicted salary is between 50000 - 65000 £ per year.
Howden Markets is seeking a Data Engineer to strengthen the foundations of our analytics capability. This is a newly created, individual‑contributor role focused on building trusted, scalable analytics through high‑quality data modelling, curated datasets, and strong Power BI and Databricks practices. Working closely with analysts, Group Data and business stakeholders, you will help define the datasets and technical standards that underpin analytics delivery across Howden Markets. The role is centred on influence, enablement, and technical leadership.
What you'll be doing
- Analytics engineering & data modelling: Design, build and maintain curated analytical datasets that support high quality insights development for Howden Markets. Work closely with Group Data and Howden Markets stakeholders to shape data models that reflect business needs, support performance, and scale effectively. Enable enrichment of existing Howden Markets datasets by sourcing, integrating and modelling new sources of data. Ensure views and semantic models are robust, well documented, and aligned to agreed business definitions and governance standards. Engage early in analytics initiatives to influence data structures and modelling decisions to enable effective downstream reporting.
- Power BI & Databricks best practice: Define, embed and promote best practices for Power BI & Databricks, including transformation and modelling patterns, performance optimisation, workspace, capacity and tenant usage standards, and alignment with Group Data architecture. Act as a technical escalation point for complex modelling, semantic, or platform related questions.
- Technical leadership: Support and mentor HM Data Team analysts as they upskill in Power BI and Databricks, acting as a trusted technical reference point. Contribute to the continuous improvement of analytics engineering capability across the team. Peer review analytical solutions where required to ensure quality, consistency, and performance ahead of production. Provide timely technical input to support decision‑making and prevent issues before they escalate.
- Collaboration & stakeholder engagement: Build strong working relationships with Howden Markets analysts, functional stakeholders and Group Data engineering and platform teams. Participate where appropriate in stakeholder sessions to explain data structures, modelling decisions, and technical constraints in clear, accessible terms.
Qualifications
- Experience in Databricks, SQL and Power BI is essential.
- Curious and collaborative in nature, with great interpersonal skills.
- Confident in engaging with a diverse set of stakeholders.
- 2+ years of insurance industry experience.
- Experience in London Market insurance is preferred but not essential.
- Experience of metadata ingestion processes.
- Technically relevant or industry recognised qualifications are a plus (e.g. CII, Microsoft Certifications etc.).
Data Engineer employer: Howden
Howden Markets is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Data Engineer to thrive. With a strong emphasis on employee growth, you will have the opportunity to mentor others while enhancing your own skills in cutting-edge technologies like Power BI and Databricks. Located in a vibrant city, Howden Markets offers a dynamic environment where your contributions directly impact analytics delivery, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Howden Markets. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Databricks, SQL, or Power BI, make sure to highlight that in conversations. Share examples of how you've used these tools to solve real problems.
✨Tip Number 3
Be proactive! Don’t wait for job openings to pop up. Apply through our website and express your interest in the Data Engineer role. Sometimes, being first in line makes all the difference!
✨Tip Number 4
Prepare for the chat! Research Howden Markets and think about how your experience aligns with their needs. Being able to discuss how you can contribute to their analytics capability will set you apart.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with Databricks, SQL, and Power BI, and don’t forget to mention any relevant projects that showcase your data modelling skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role at Howden Markets and how your background aligns with their needs. Be genuine and let your personality come through!
Showcase Your Technical Skills:Don’t just list your technical skills; provide examples of how you’ve used them in past roles. Whether it’s building datasets or optimising performance in Power BI, we want to see your expertise in action!
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’s super easy!
How to prepare for a job interview at Howden
✨Know Your Data Tools Inside Out
Make sure you brush up on your skills with Databricks, SQL, and Power BI. Be ready to discuss specific projects where you've used these tools, and think about how you can demonstrate your understanding of best practices in data modelling and analytics engineering.
✨Showcase Your Collaboration Skills
Since this role involves working closely with analysts and stakeholders, prepare examples that highlight your ability to build strong relationships. Think about times when you’ve influenced decisions or helped others understand complex data structures in simple terms.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on common challenges in data modelling and be ready to discuss how you would approach them. It’s also a good idea to have a few scenarios in mind where you’ve solved complex problems using your technical expertise.
✨Demonstrate Your Leadership Potential
Even though this is an individual-contributor role, showing that you can mentor and support others will set you apart. Think of examples where you’ve guided colleagues or contributed to team improvements, especially in areas like Power BI and Databricks.
