At a Glance
- Tasks: Help make data accessible and insightful by building data pipelines and models.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy private healthcare, generous work-from-abroad policy, and family-friendly perks.
- Other info: Hybrid work model with clear career paths and personal learning budgets.
- Why this job: Make a real impact on data accessibility while growing your career in a dynamic environment.
- Qualifications: Experience with SQL and Python; familiarity with DBT and Airflow is a plus.
The predicted salary is between 30000 - 40000 € per year.
Responsibilities:
- Be involved in making our data lake more accessible and insightful by working on new data marts and designing data models that even the most basic SQL users can use.
- Build data pipelines with Spark or DBT.
- Use SQL to transform data into meaningful insights.
- Orchestrate your pipelines with DAGs on Airflow.
- Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning).
- Deploy your changes with Jenkins and GitHub actions.
Qualifications:
- Experience as a Data Engineer using SQL and Python.
- Exposure to DBT or similar data transformation tools.
- Exposure to Apache Airflow or similar tools to create DAGs.
- Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion.
- Good communicator.
- Ability to work within Agile, considering minimum viable products, story pointing and sprints.
Benefits:
- Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.
- We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
- We operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period.
- We also have a 28-day Work from Abroad policy.
Junior Data Engineer in London employer: Trainline plc
As a Junior Data Engineer at our company, you will thrive in a dynamic work culture that champions innovation and collaboration. With fantastic benefits such as private healthcare, generous family-friendly policies, and a commitment to career growth through clear paths and personal learning budgets, we ensure that our employees feel valued and supported. Our hybrid working model allows for flexibility while fostering a strong team environment, making this an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, do a live coding challenge or a technical interview. It’s your moment to shine and demonstrate what you can do with SQL and Python.
✨Tip Number 3
Prepare for those SCRUM ceremonies! Brush up on Agile methodologies and be ready to discuss how you can contribute to sprints and backlogs. It shows you’re not just a techie but also a team player.
✨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 proactive about their job search.
We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL and Python, as well as any exposure to DBT or Apache Airflow. We want to see how your skills align with the Junior Data Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to making our data lake more accessible. Keep it conversational and let your personality come through.
Showcase Your Communication Skills:As good communicators are key in our Agile environment, make sure to highlight any experiences where you’ve effectively collaborated with others. Whether it’s during SCRUM ceremonies or team projects, we want to know how you work with others!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our fantastic team at StudySmarter!
How to prepare for a job interview at Trainline plc
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in data transformation and building data pipelines.
✨Familiarise Yourself with DBT and Airflow
Since the role involves using DBT and Apache Airflow, take some time to understand how these tools work. You might be asked about your experience with them, so having specific examples of how you've used them will definitely give you an edge.
✨Prepare for Agile Discussions
As the company operates within an Agile framework, be prepared to talk about your experience with SCRUM ceremonies. Think of examples where you've participated in standups or planning sessions, and how you contributed to the team's success.
✨Show Off Your Communication Skills
Good communication is key in this role, especially when discussing data models and collaborating with team members. Practice explaining complex concepts in simple terms, as you may need to demonstrate this during the interview.
