At a Glance
- Tasks: Design and build data pipelines to support a major tech transformation.
- Company: A forward-thinking social housing provider in Lancashire.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in social housing.
- Why this job: Join a transformative project that makes a real difference in the community.
- Qualifications: Proficient in SQL, Python, and Power BI with data engineering experience.
The predicted salary is between 40000 - 55000 £ per year.
Our client is a social housing provider based in Lancashire that is embarking on a major five-year, Microsoft-led technology transformation. The company values innovation and a collaborative culture, fostering an environment where technical expertise drives impactful change. This role involves building data pipelines and bridges using MS Fabric to connect their entire operation, bridging the gap between complex code and business strategy. The successful candidate will play a vital part in enabling the organisation's data-driven decision-making and operational improvements.
Role Overview
The Data Engineer will be responsible for designing, building, and maintaining cloud-based ETL/ELT pipelines, with a focus on MS Fabric components. The role requires working closely with stakeholders across the organisation to understand their needs and develop solutions that enhance business processes. This position is integral to supporting the organisation’s digital transformation, ensuring data quality, compliance, and effective migration from legacy systems.
Key Skills & Experience
- Strong proficiency in SQL, Python, and Power BI
- Hands-on experience with Microsoft Fabric components
- Proven experience in migrating from on-prem (SSIS) to cloud-based ETL/ELT pipelines
- Experience implementing error handling and GDPR compliance
Key Responsibilities
- Build and optimise data pipelines connecting various systems within the organisation
- Collaborate with stakeholders to understand data requirements and deliver solutions accordingly
- Support the migration of legacy data systems to modern cloud-based platforms
- Ensure data quality and compliance across all data processes
- Contribute to the organisation’s data architecture and strategy
Requirements
- Right to work in the UK
- Experience working in Lancashire or able to work on-site as required
- Proven data engineering experience, particularly with Microsoft Fabric and legacy migration
- Strong technical skills in SQL, Python, Power BI
- Ability to liaise with business stakeholders effectively
Nice to Have
- Experience in the housing or social housing sector
If you have the relevant skills and are interested in this opportunity, please apply with an up-to-date CV for review.
Data Engineer in Preston employer: Gravitas Group
As a leading social housing provider in Lancashire, our client offers an exceptional work environment that prioritises innovation and collaboration. Employees benefit from a strong focus on professional development, with opportunities to engage in a transformative technology journey that enhances their skills while making a meaningful impact on the community. The company fosters a culture of inclusivity and support, ensuring that every team member plays a crucial role in driving data-driven decision-making and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Preston
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in social housing or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Microsoft Fabric. 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 questions and scenarios. Practice explaining how you've tackled challenges in past projects, particularly around ETL/ELT processes and data migration.
✨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 Data Engineer in Preston
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and Microsoft Fabric. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our client's digital transformation. Keep it concise but impactful!
Showcase Your Collaboration Skills:Since this role involves working closely with stakeholders, mention any past experiences where you’ve successfully collaborated with others. We love seeing how you can bridge the gap between technical and business needs!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Gravitas Group
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in building ETL/ELT pipelines with Microsoft Fabric. The more specific examples you can provide, the better!
✨Understand Their Business
Research the social housing sector and the specific challenges faced by the company. This will help you tailor your answers to show how your technical expertise can drive impactful change in their operations. Demonstrating an understanding of their mission will set you apart.
✨Prepare for Stakeholder Scenarios
Since collaboration is key in this role, think of examples where you've worked closely with stakeholders to gather requirements or solve problems. Be ready to discuss how you ensured data quality and compliance while meeting their needs.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. They might ask how you'd handle error management or GDPR compliance in a data pipeline. Think through your approach and be ready to explain your reasoning clearly.
