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- Tasks: Enhance Finance Lakehouse using MS Fabric and collaborate with finance teams.
- Company: Dynamic tech company focused on innovative finance solutions.
- Benefits: Competitive day rate, remote work flexibility, and potential for contract extension.
- Other info: Exciting opportunity to grow your skills in a supportive environment.
- Why this job: Join a cutting-edge project and make a real impact in finance technology.
- Qualifications: Experience with SQL, Pyspark/Python, and MS Fabric in an enterprise setting.
A pragmatic and self-sufficient Data Engineer with solid practical experience of the Microsoft Fabric platform in an Enterprise setting is required for this initial 6 month assignment with potential for further extension. Working along our clients Data Architect, the Data Engineer will work closely with the Global Finance team and external partners to deliver Finance solutions. Having implemented a Finance Lakehouse using the MS Fabric platform primarily integrating D365 data, they are now expanding into additional regions and integrating with other systems. The Data Engineer will use their knowledge of working with the MS Fabric platform to recommend improvements to the current setup, so it's important they can engage effectively with finance stakeholders regarding the implementation and testing of new features / changes.
Key responsibilities include:
- Enhance the use of Fabric within the Finance Lakehouse by recommending setup improvements and developing out the existing logging and automated testing processes.
- Deliver business-as-usual (BAU) support.
- Develop and document new features for the platform.
- Support the Architect in managing DevOps tickets and overseeing Azure and Power Platform assets.
- Collaborate with the Architect to establish peer review practices and assess the feasibility of implementing continuous integration (CI) builds.
- Partner with the Architect to transition from a "fail fast" approach to a more stable and controlled iteration management process.
Essential:
- SQL
- Pyspark / Python
- 6 months of practical Fabric experience in an Enterprise setting
- Power BI / Fabric Semantic Models
- Ability to work with / alongside stakeholders with their own operational pressures
- Able to follow best practices and adapt, even without established iteration management
Desirable:
- DBT
- Previous experience of working with D365 data
- API Integration (OData ideally)
- Basic accounting knowledge
- Snowflake
This assignment is signed off and approved with the hope of getting someone started ASAP and before Christmas. Day rate is dependent on experience and expected to be in the region of £500 - £600 outside IR35.
For further information, please send your CV to Wayne Young at Youngs Employment Services Ltd.
Data Engineer employer: Youngs Employment Services
Contact Detail:
Youngs Employment Services 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 your connections in the data engineering field, especially those who have experience with MS Fabric. 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 projects, especially those involving MS Fabric and D365 data. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in previous roles, particularly around enhancing systems and collaborating with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MS Fabric and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Data Engineer role. Mention your experience with SQL, Pyspark, and any finance-related projects to grab our attention.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially those involving data integration or working with stakeholders. We love seeing how you approach problem-solving!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Youngs Employment Services
✨Know Your MS Fabric Inside Out
Make sure you brush up on your knowledge of the Microsoft Fabric platform. Be ready to discuss your practical experience and how you've used it in an enterprise setting, especially in relation to Finance solutions. Prepare examples of how you've enhanced setups or integrated data from D365.
✨Engage with Stakeholders
Since you'll be working closely with finance stakeholders, practice how to communicate technical concepts in a way that's easy for them to understand. Think about past experiences where you successfully collaborated with non-technical teams and be ready to share those stories.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced while working with data engineering and how you overcame them. Highlight your ability to recommend improvements and adapt to changing requirements, as this role will require a pragmatic approach to problem-solving.
✨Familiarise Yourself with DevOps and CI Practices
Since the role involves managing DevOps tickets and overseeing Azure assets, make sure you understand the basics of continuous integration and deployment. Brush up on any relevant tools or practices you've used before, and be ready to discuss how you can contribute to establishing peer review practices.