At a Glance
- Tasks: Shape and maintain our data platform while collaborating with a dynamic team.
- Company: FutureLearn, a leader in online education with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a diverse team committed to inclusion and long-term impact.
- Why this job: Make a real impact by building reliable data systems and exploring AI integration.
- Qualifications: Experience with Snowflake, dbt, AWS, and strong communication skills.
The predicted salary is between 45000 - 55000 £ per year.
FutureLearn is seeking a hands-on Data Engineer responsible for shaping and maintaining our data platform. You will collaborate with the data leadership team to create reliable, trusted data that supports better decisions across the business.
Responsibilities
- Design and model data in Snowflake using dbt Core.
- Build and orchestrate data pipelines with Airflow and Airbyte in an AWS environment.
- Transform spreadsheets and ad-hoc datasets into structured, reliable systems.
- Develop processes that enhance data trustworthiness, quality, and governance.
- Explore integration of AI into data workflows.
Qualifications
- Strong communication skills.
- Experience with Snowflake, dbt, and data modelling.
- Knowledge of AWS and data orchestration (Airflow).
- Familiarity with ETL tools such as Airbyte or similar.
- Python programming experience.
- Interest in AI, data quality and governance, including GDPR.
- Experience in SaaS, education, or training environments is a bonus.
About You
You thrive on building structure where it doesn’t yet exist, prefer a hands-on role with real accountability, and are motivated by long-term impact rather than quick fixes. You communicate clearly, collaborate well, and are excited by the possibility of growing into future leadership while helping to build a strong data team.
EEO Statement
We value all the great benefits that diversity brings and encourage everyone to bring their whole self to work. We are proud to have Diversity and Inclusion at the centre of everything we do and are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion.
Data Engineer in London employer: FutureLearn
FutureLearn is an exceptional employer that fosters a collaborative and inclusive work culture, where your contributions as a Data Engineer will directly influence the company's data-driven decisions. With a strong emphasis on employee growth, you will have opportunities to develop your skills in cutting-edge technologies like Snowflake and AWS, while also exploring innovative AI integrations. Located in a vibrant environment, FutureLearn values diversity and encourages you to bring your authentic self to work, making it a truly rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Snowflake, dbt, and AWS. 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 your thought process when designing data models or building pipelines – clarity is key!
✨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 genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with Snowflake, dbt, and AWS, and don’t forget to mention any projects where you’ve built data pipelines or transformed datasets.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality! Share why you’re excited about the role and how your skills align with our mission at FutureLearn. Be genuine and let your enthusiasm shine through.
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your documents well. We want to see that you can convey complex ideas simply!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at FutureLearn
✨Know Your Tools Inside Out
Make sure you’re well-versed in Snowflake, dbt, and AWS. Brush up on how to design data models and orchestrate pipelines using Airflow and Airbyte. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed messy datasets into structured systems. Talk about specific challenges you faced and how you overcame them. This will demonstrate your ability to enhance data quality and governance, which is crucial for the role.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining complex data concepts in simple terms. This will not only help you during the interview but also show that you can collaborate effectively with the data leadership team.
✨Express Your Interest in AI and Data Governance
Since the role involves exploring AI integration into data workflows, be prepared to discuss your thoughts on this topic. Show enthusiasm for data quality and governance, including GDPR compliance, as it aligns with the company’s values and goals.
