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For Companies At a Glance
- Tasks: Join a team to design and implement Microsoft Fabric for data transformation.
- Company: Established professional services organisation with a focus on innovation.
- Benefits: Competitive salary up to £50,000, flexible location, and career growth opportunities.
- Why this job: Make a real impact on data architecture and support key business functions.
- Qualifications: Experience in data engineering and familiarity with Microsoft Fabric or similar platforms.
- Other info: Collaborative environment with a focus on upskilling and best practices.
The predicted salary is between 36000 - 60000 £ per year.
Location: Birmingham or Northampton (candidate’s choice)
Onsite: 3 days per week
Type: Full-time
Salary: Up to £50,000
The Opportunity
We’re partnered with a large, well-established professional services organisation embarking on a major data transformation programme. With legacy SAP BW approaching end of support, the business is investing in Microsoft Fabric as its future data platform, creating an exciting opportunity for an experienced Data Engineer to play a key role in shaping the new architecture. This role offers genuine long-term impact, working on a strategic platform migration while helping build strong data engineering practices across the wider technology function.
The Role
You will join a collaborative internal technology team and take ownership of the transition to Microsoft Fabric. Beyond the migration, you will help maintain and evolve the data platform, ensuring it supports high-quality reporting and analytics across Finance, HR, and Commercial functions. You’ll work closely with technical and non-technical stakeholders, translating business requirements into scalable, well-governed data solutions.
Key Responsibilities
- Support the design and rollout of Microsoft Fabric as the core data platform
- Work closely with IT, Data, Finance, HR, and Commercial teams to deliver technical solutions aligned to business needs
- Design and build data ingestion pipelines into Fabric
- Develop ETL and ELT processes using Fabric Data Pipelines, Azure Data Factory, and SAP Data Services
- Build robust data models supporting reporting and analytics use cases
- Create and maintain a high-quality reporting layer for downstream consumption
- Apply strong data governance practices, including GDPR and secure data handling
- Support and upskill colleagues in coding and engineering best practice
- Produce clear technical documentation and promote structured engineering processes
Data Engineer employer: James Adams
Contact Detail:
James Adams Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in tech roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your expertise in Microsoft Fabric and data pipelines.
✨Tip Number 3
Ace the interview by practising common data engineering questions. Think about how you’d explain complex concepts to non-technical folks, as communication is key in this role.
✨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 take that extra step.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft Fabric, data pipelines, 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 exciting data transformation programme. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with ETL processes, Azure Data Factory, and any other tools that are relevant to the role. We love seeing candidates who are technically savvy!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at James Adams
✨Know Your Data Tools
Make sure you brush up on your knowledge of Microsoft Fabric, Azure Data Factory, and SAP Data Services. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.
✨Understand the Business Needs
Familiarise yourself with the key functions of Finance, HR, and Commercial teams. Think about how data engineering can support their goals and be prepared to share examples of how you've translated business requirements into technical solutions.
✨Showcase Your Collaboration Skills
This role involves working closely with both technical and non-technical stakeholders. Prepare examples that demonstrate your ability to communicate complex data concepts clearly and how you've successfully collaborated with diverse teams in the past.
✨Emphasise Data Governance
Given the importance of GDPR and secure data handling, be ready to discuss your experience with data governance practices. Highlight any specific strategies you've implemented to ensure data quality and compliance in previous roles.
