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For Companies At a Glance
- Tasks: Design and build Azure data pipelines for a major data transformation project.
- Company: Join a leading UK company with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact by modernising data management and reporting processes.
- Qualifications: Experience in Azure platforms, SQL development, and data integration.
- Other info: Collaborative environment with a chance to influence architectural decisions.
The predicted salary is between 48000 - 72000 £ per year.
Position: Senior Data Engineer
Hybrid – Birmingham
6 months – Outside IR35
Overview
Join a leading UK company as a Senior Data Engineer and play a key role in a major data transformation project. You will have the opportunity to design and deliver a new Azure-based data platform, modernising the organisation\’s data management and reporting processes. This hands‑on role offers architectural influence and is ideal for an experienced engineer with a strong background in setting up new environments, creating data pipelines, and enabling self‑service analytics through Power BI.
Key Responsibilities
- Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric.
- Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best‑practise ETL/ELT frameworks.
- Ingest and integrate data from multiple core systems, including ERP, finance, supply chain, and CRM platforms.
- Develop and optimise SQL data models and support the creation of Power BI‑ready datasets.
- Apply and document data governance, quality, and validation rules within the platform.
- Collaborate with Finance and IT stakeholders to translate reporting needs into technical solutions.
- Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency.
- Define reusable components, standards, and documentation to support long‑term scalability.
Essential Skills & Experience
- Proven experience building Azure data platforms end‑to‑end (Data Factory, Synapse, Fabric, or Databricks).
- Strong SQL development and data modelling capability.
- Experience integrating ERP or legacy systems into cloud data platforms.
- Proficiency in Python or PySpark for transformation and automation.
- Understanding of data governance, access control, and security within Azure.
- Hands‑on experience preparing data for Power BI or other analytics tools.
- Excellent communication skills – able to bridge technical and non‑technical stakeholders.
- Strong documentation habits and attention to detail.
Desirable Skills & Experience
- Experience with AS400, Tagetik, or similar finance systems.
- Familiarity with Power BI Premium, RLS, and workspace governance.
- Knowledge of Azure DevOps and CI/CD for data pipelines.
- Exposure to data quality tools or frameworks.
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Senior Data Engineer employer: SF Recruitment
Contact Detail:
SF Recruitment 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 engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Azure data platforms and Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've built data pipelines or integrated systems in the past. We want to hear your success stories!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 experience with Azure data platforms and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of data pipelines you've built or optimised, especially using Azure Data Factory or Synapse. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how you can contribute to our data transformation project. We appreciate straightforward communication!
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 to do!
How to prepare for a job interview at SF Recruitment
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Data Factory, Synapse, and Fabric. Be ready to discuss your past experiences in building Azure data platforms and how you've tackled challenges in those projects.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL development and data modelling capabilities. You might be asked to solve a problem on the spot, so practice writing queries and optimising data models beforehand.
✨Communicate Like a Pro
Since you'll be collaborating with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully bridged the gap between different teams.
✨Document Your Successes
Bring along examples of your documentation habits and attention to detail. Whether it's ETL frameworks or data governance rules, having tangible examples will show that you take these aspects seriously and understand their importance.
