At a Glance
- Tasks: Design and develop data infrastructure, ensuring reliable and efficient data pipelines.
- Company: Join Prevail Partners, a mission-driven company focused on delivering excellence.
- Benefits: Enjoy gym access, wellness discounts, private medical insurance, and professional development days.
- Why this job: Make a real impact by transforming data into insights that drive decision-making.
- Qualifications: Experience in building data pipelines and strong Python skills required.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 Β£ per year.
We are looking for a Data Engineer to establish our internal data engineering capability and play a key role in designing and developing the data infrastructure and systems, ensuring that our data pipelines are reliable, scalable, and efficient. Reporting into the Head of Data & Spatial Intelligence, you will be responsible for designing data infrastructure to support modelling and data analytics, with strong competence in Python, and work with stakeholders to understand their data needs and help design data solutions.
The Technology team within Prevail underpins all of our mission focused teams. No two days are the same and the real-world problems we seek to solve are complicated. You will get the opportunity to interact with a wide range of datasets and support both the wider tech team and mission teams turning this data into insights to drive our customers' decision making. The team structure is flat with a network centric approach to leadership. A small team, we rely on strong communication and the ability to mutually support each other whilst working at pace.
Responsibilities/Deliverables:
- Receiving large datasets and transforming them to enable our mission teams to rapidly exploit the data.
- Identifying improvements to our current data processes and implementing solutions.
- Implementing data flows to connect operational systems, data for analytics, and business intelligence systems.
- Creation and development of data pipelines.
- Documenting source-to-target mappings.
- Re-engineering manual data flows to enable scaling and repeatable use.
- Support the build of data streaming systems.
- Build and maintain ETL scripts and pipelines and code to ensure the ETL process performs optimally and ensures data is accurate and easy to use.
- Develop business intelligence reports that can be used for multiple audiences.
- Build accessible data for analysis.
- Automate data processing tasks and workflows.
- Collaborate with cross functional teams to advocate for high-quality data solutions.
You:
You will have previous proven experience:
- Building, modelling, and maintaining data pipelines.
- With a range of Amazon Web Service products and technologies such as EC2, S3, Lambda, ECS and Redshift.
- Designing data infrastructure to support modelling and data analytics as an AWS Solutions Architect or Lead, or similar.
- Strong Python experience or other object-oriented or a functional programming language such as Java, Scala, C#, or R.
- Data warehousing β building operational ETL data pipelines across several sources, and constructing relational and dimensional data models.
- Built and maintained scalable infrastructure through IaC frameworks (e.g., Terraform, CloudFormation) and CI/CD workflows.
- If you have previous exposure to geospatial data, that would be advantageous but is not a requirement for the position.
- Familiarity with Apache Spark or Databricks.
- Excellent communication and collaboration skills.
About Prevail Partners:
Prevail Partners delivers strategic advice, intelligence, specialist capabilities, and managed services to clients ranging from governments and multinational corporations to non-governmental organisations. Our services span Europe, the Middle East, and Africa. We are united by a shared mission: to deliver Unrelenting Excellence in everything we do. That means operating with integrity, curiosity, accountability, and care.
What We Offer:
- Gym Access & Wellness Discounts: Access to discounted memberships and gym facilities for London-based employees.
- Cycle to Work Scheme: Tax-efficient savings on bikes and accessories, available post-probation.
- Season Ticket Loans: Interest-free loans for annual commuting costs.
- Private Medical Insurance: Fully funded cover through Vitality Health after two yearsβ service.
- Employee Assistance Programme (EAP): Confidential mental health, legal, financial and wellbeing support via Health Hero.
- Enhanced Leave Entitlements: Supporting you through important life moments with flexibility.
- Professional Development Days: Dedicated time off to focus on your personal and professional growth through training, courses, or self-directed learning.
- Pension Scheme: Access to a flexible defined contribution pension through NatWest Cushon, with a salary exchange option. Contributions start at 5% employee and 3% employer, with the potential to adjust based on your requirements and financial goals.
- Culture & Development: A values-led culture with regular social events, collaborative initiatives, and meaningful opportunities for personal and professional development.
Data Engineer in City of London employer: Prevail
Contact Detail:
Prevail Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer in City of London
β¨Tip Number 1
Network like a pro! Reach out to current employees at Prevail or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
β¨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipelines and Python prowess. This hands-on evidence can really impress during interviews.
β¨Tip Number 3
Be ready to discuss real-world problems. Think about how you've tackled data challenges before and be prepared to share those stories. It shows you're not just book-smart but also practical.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows youβre genuinely interested in joining the team at Prevail.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Python, and AWS technologies. We want to see how your skills match 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 mission. Keep it concise but impactful β we love a good story!
Showcase Relevant Projects: If you've worked on any projects that involved building data pipelines or using AWS, make sure to mention them. Weβre keen to see real-world examples of your work and how youβve tackled challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you donβt miss out on any important updates from us!
How to prepare for a job interview at Prevail
β¨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially in Python and AWS technologies like EC2, S3, and Redshift. Be ready to discuss your experience with building and maintaining data pipelines, as well as any specific projects you've worked on that showcase your expertise.
β¨Showcase Your Problem-Solving Skills
Since the role involves tackling complex real-world problems, prepare examples of how you've identified improvements in data processes or implemented solutions in previous roles. Highlight your ability to think critically and creatively when faced with challenges.
β¨Communicate Clearly
Strong communication is key in this flat team structure. Practice explaining technical concepts in simple terms, as you'll need to collaborate with cross-functional teams. Be prepared to discuss how you've effectively communicated data needs and solutions to stakeholders in the past.
β¨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on your knowledge of ETL processes, data warehousing, and automation techniques. You might also want to review any relevant frameworks like Terraform or CloudFormation, as well as your experience with Apache Spark or Databricks if applicable.