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- Tasks: Map and document data flows, ensuring clarity and governance across systems.
- Company: Join a not-for-profit organisation dedicated to fairness and simplicity.
- Benefits: Flexible hybrid working, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact by simplifying data processes for a better future.
- Qualifications: Strong SQL skills and experience with data pipelines and integrations.
- Other info: Diverse team committed to equality and supporting all applicants.
The predicted salary is between 28800 - 48000 ÂŁ per year.
At the heart of our not-for-profit organisation is a commitment and a motivation to make the future-saving experience a simple one for our members. We champion fairness and simplicity, not profit-chasing. Imagine a financial adventure where everyone's a winner, fuelled by our exceptional service and brought to life by the fantastic individuals who work for us. We're a diverse employer with a flexible, hybrid working approach, ensuring everyone gets the opportunity to come to work and be the best version of themselves.
Responsibilities
- The Data Lineage Engineer will play a critical role in delivering the organisation’s data lineage work.
- This role is responsible for the technical discovery, mapping, and documentation of data flows across systems, integrations, and databases.
- The engineer will reverse engineer existing technical assets, surface metadata, and create clear, maintainable technical documentation that supports governance, audit readiness, and operational improvements.
- Inventory all systems and data sources, including structured, semi‑structured, and unstructured data environments.
- Document technical metadata, ownership, and system interfaces in collaboration with system owners and SMEs.
- Map end-to-end data flows, including ETL pipelines, APIs, integrations, and batch processes.
- Develop visual models of data movement from source to consumption destinations (BI tools, apps, warehouses).
- Contribute technical definitions and lineage insights to the Data Dictionary.
- Produce high quality, standardised documentation suitable for inclusion in governance platforms.
Qualifications
- Strong SQL skills, with experience reverse engineering stored procedures and database objects.
- Proven background in data pipelines, ETL/ELT processes, and data integration technologies.
- Experience mapping complex data flows across heterogeneous systems.
- Ability to interpret and document technical metadata with precision.
- Experience with data catalogue or metadata management tools, such as Purview.
- Familiarity with API integrations, workflow automation, or legacy systems.
- Experience with Microsoft Azure (Data Factory, Databricks, Data Lake, Lakehouse).
Disability Statement
People's Partnership is an equal opportunities employer. We believe everyone has the right to be treated fairly, with dignity and respect. We are committed to treating all our people (and all who apply for a role at People's Partnership) equally and enabling them to perform at their best and demonstrate what they have to offer. We are a disability committed employer, please let us know if you need any reasonable adjustments made to our recruitment process (application, selection assessments where relevant, and interview) to enable you to show us the best “you”.
Data Engineer in Crawley employer: People's Partnership
Contact Detail:
People's Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Crawley
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info about the company culture and maybe even a referral. We all know that a personal touch can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into the company’s mission and values. Since they’re all about fairness and simplicity, think of examples from your past work that align with these principles. Show them you’re not just a fit for the role, but for their ethos too!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, shoot a quick thank-you email to express your appreciation. It keeps you on their radar and shows you’re genuinely interested in the position. Plus, it’s a nice touch that can set you apart!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll have access to all the latest job openings and updates directly from us. Let’s get you that Data Engineer role!
We think you need these skills to ace Data Engineer in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your SQL skills, data pipeline experience, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our values. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: When filling out your application, don’t shy away from detailing your technical expertise. Mention your experience with ETL processes, data mapping, and any tools like Purview or Azure. We’re keen to know how you can help us simplify data flows!
Apply Through Our Website: We encourage you to apply directly 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 People's Partnership
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with data pipelines and ETL processes. Be prepared to explain how you've reverse engineered stored procedures and mapped complex data flows in previous roles.
✨Showcase Your Documentation Skills
Since the role involves creating clear, maintainable technical documentation, bring examples of your past work. Highlight how you've documented technical metadata and collaborated with system owners to ensure accuracy and clarity.
✨Familiarise Yourself with Tools
Get comfortable with data catalogue or metadata management tools like Purview, as well as Microsoft Azure services such as Data Factory and Databricks. Being able to discuss your hands-on experience with these tools will set you apart.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data lineage projects and how you overcame them. This will demonstrate your critical thinking and adaptability.
