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- Tasks: Lead the design and development of our data infrastructure using Databricks, Pyspark, and Delta Lake.
- Company: Ocean is a mission-driven credit platform focused on improving financial wellbeing for underserved individuals.
- Benefits: Enjoy competitive pay, flexible work options, 25 days holiday, and regular team socials.
- Why this job: Join a dynamic team that values your ideas and promotes a data-driven culture.
- Qualifications: Expertise in Apache Spark, Python, Pyspark, and experience with CI/CD pipelines required.
- Other info: Work from home or our offices in Manchester or Cyprus; community volunteering days available.
The predicted salary is between 36000 - 60000 £ per year.
At Ocean, we’re on a mission to become the UK’s leading credit platform for people not served by the mainstream, helping them improve their financial wellbeing over their lifetime. This has been our mission for over 30 years, and it’s still the thing that drives us to do better and more for our customers.
We do this by helping our customers make informed decisions and access personal finance products.
If our mission sounds interesting, please keep reading!
About the job
We are on the lookout for a skilled Data Engineer to become an integral part of our Data Platform and Services team. Reporting to our Head of Data Platform and Services, you\’ll not only maintain and optimize our data infrastructure but also spearhead its evolution. Built predominantly on Databricks, and utilizing technologies like Pyspark and Delta Lake, our infrastructure is designed for scalability, robustness, and efficiency. You\’ll take charge of developing sophisticated data integrations with various advertising platforms, empowering our teams with data-driven insights and informed decision-making
What you’ll be doing for us
- Leadership in Design and Development: Lead in the architecture, development, and upkeep of our Databricks-based infrastructure, harnessing Pyspark and Delta Lake.
- CI/CD Pipeline Mastery: Create and manage CI/CD pipelines, ensuring automated deployments and system health monitoring.
- Advanced Data Integration: Develop sophisticated strategies for integrating data with platforms like Google Analytics and Facebook Ads.
- Cross-Team Collaboration: Partner with internal stakeholders to deliver tailored data solutions.
- Data Pipeline Optimization: Enhance data pipeline frameworks, ensuring data integrity and accuracy.
- Performance Troubleshooting: Tackle complex data platform performance issues, promoting system stability.
- Industry Trend Analysis: Keep abreast of the latest in data technologies, analytics, and security.
- Agile Methodology Advocacy: Engage in Scrum teams, enhancing the agile development process.
- Data Governance Leadership: Drive the development and adherence to data governance standards.
- Data-Driven Culture Champion: Advocate for the strategic use of data across the organization.
- Expertise in Apache Spark
- Advanced proficiency in Python and Pyspark
- Extensive experience with Databricks
- Advanced SQL knowledge
- Strong experience in building and managing CI/CD pipelines.
- Experience in implementing data integrations with multiple advertising and analytics platforms.
- Solid understanding of data governance and security best practices
What we’ll do for you
- Pay you competitively and review your salary every year
- Welcome you into our awesome team (dare we say the best? We do, yes!)
- Bring the kind of vibe where we want you to share your ideas, even if it’s not “your area”
- Provide you with all the kit you need to work from home. Of course, you can also work from our Manchester or Cyprus offices, too.
- Help you plan for life after work with our pension scheme
- Take care of your health with eye test vouchers, and our employee assistance programme
- Give you 25 days holiday (to start with), as well as local public holidays and a day off on your birthday
- Support you with training, mentoring and anything else you need to further your development and hit your career goals
- Invite you to regular online and in-person team socials, as well as the occasional team retreat somewhere exotic
- Help you help others with optional “community” days for volunteering
- Provide you flexibility of benefit with PerkBox discounts our / and Ocean Health Plan
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information.
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Created on 25/06/2025 by TN United Kingdom
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Data Engineer employer: Ocean Finance
Contact Detail:
Ocean Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks, Pyspark, and Delta Lake. Since these technologies are central to the role, demonstrating your knowledge through practical examples or projects can really set you apart during discussions.
✨Tip Number 2
Showcase your experience with CI/CD pipelines. Be prepared to discuss specific instances where you've implemented or managed these processes, as this is a key responsibility in the job.
✨Tip Number 3
Highlight your collaborative skills. The role involves working closely with various teams, so sharing examples of successful cross-team projects can demonstrate your ability to work well with others.
✨Tip Number 4
Stay updated on industry trends in data technologies and governance. Being able to discuss recent developments or best practices can show your commitment to continuous learning and improvement in the field.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Ocean. Familiarise yourself with technologies like Databricks, Pyspark, and Delta Lake, as well as the importance of data governance.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in Apache Spark, Python, and CI/CD pipelines, and provide examples of past projects that demonstrate your capabilities.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your passion for Ocean's mission. Explain how your background can contribute to their goal of improving financial wellbeing for underserved customers.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Ocean Finance
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, Pyspark, and Delta Lake. Highlight specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company Mission
Familiarise yourself with Ocean's mission to improve financial wellbeing for underserved individuals. Be ready to explain how your role as a Data Engineer can contribute to this mission, showcasing your alignment with their values.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting skills, especially regarding data platform performance issues. Think of examples where you've successfully resolved complex problems in previous roles.
✨Emphasise Collaboration and Communication
Since the role involves cross-team collaboration, be ready to discuss your experience working with different stakeholders. Share examples of how you've delivered tailored data solutions through effective communication and teamwork.
