At a Glance
- Tasks: Design and build data pipelines to drive impactful change in social housing.
- Company: Innovative social housing provider leading a major tech transformation.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and operational improvements.
- Why this job: Be part of a digital transformation that enhances data-driven decision-making.
- Qualifications: Proficiency in SQL, Python, and experience with Microsoft Fabric.
The predicted salary is between 50000 - 50000 £ 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 employer: Gravitas Recruitment
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
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gravitas Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gravitas Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gravitas Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gravitas Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
