Junior Data Engineer — Hybrid Data Pipelines & SQL
Junior Data Engineer — Hybrid Data Pipelines & SQL

Junior Data Engineer — Hybrid Data Pipelines & SQL

Full-Time 35000 - 45000 £ / year (est.) No home office possible
Trainline plc

At a Glance

  • Tasks: Build data pipelines and transform data using SQL and Spark.
  • Company: Join Trainline plc, a leader in data accessibility and insights.
  • Benefits: Enjoy private healthcare, work from abroad, and clear career paths.
  • Other info: Participate in SCRUM ceremonies in a dynamic team environment.
  • Why this job: Make an impact on data accessibility while working in a hybrid model.
  • Qualifications: Experience with SQL and data engineering tools like Spark or DBT.

The predicted salary is between 35000 - 45000 £ per year.

Trainline plc is looking for a Data Engineer to enhance their data lake accessibility and insights. In this role, you will build data pipelines using Spark or DBT, and utilize SQL for data transformation. You will also orchestrate pipelines on Airflow and participate in SCRUM ceremonies.

The company offers a hybrid work model and various benefits including private healthcare, a generous work from abroad policy, and clear career paths.

Junior Data Engineer — Hybrid Data Pipelines & SQL employer: Trainline plc

Trainline plc is an excellent employer that fosters a dynamic and inclusive work culture, offering a hybrid work model that promotes flexibility and work-life balance. With a strong focus on employee growth, the company provides clear career paths and a range of benefits including private healthcare and a generous work from abroad policy, making it an attractive place for aspiring data engineers to thrive and develop their skills.
Trainline plc

Contact Detail:

Trainline plc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Engineer — Hybrid Data Pipelines & SQL

Tip Number 1

Network like a pro! Reach out to current or former employees at Trainline plc on LinkedIn. A friendly chat can give us insider info and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipelines, SQL transformations, or any relevant work. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for data engineering roles. We can even do mock interviews with friends to boost our confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what Trainline is looking for.

We think you need these skills to ace Junior Data Engineer — Hybrid Data Pipelines & SQL

Data Pipeline Development
Spark
DBT
SQL
Data Transformation
Airflow
SCRUM
Data Lake Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience with data pipelines, SQL, and any tools like Spark or DBT. We want to see how your skills match the role, so don’t be shy about showcasing your projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Junior Data Engineer position and how you can contribute to enhancing our data lake. Keep it engaging and personal.

Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your experience with Airflow, SCRUM, and any other relevant technologies. We love seeing candidates who are passionate about data engineering!

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 awesome team at StudySmarter!

How to prepare for a job interview at Trainline plc

Know Your Tech Stack

Make sure you’re familiar with Spark, DBT, and SQL. Brush up on your knowledge of how these tools work together to build data pipelines. Being able to discuss specific projects or experiences where you've used these technologies will show your practical understanding.

Understand Data Pipelines

Be prepared to explain the process of building data pipelines. Think about how you would approach a project from start to finish, including data extraction, transformation, and loading. This will demonstrate your ability to think critically about the role.

SCRUM and Agile Mindset

Since you'll be participating in SCRUM ceremonies, it’s important to understand Agile methodologies. Familiarise yourself with common SCRUM practices and be ready to discuss how you’ve worked in Agile teams before, or how you would adapt to this environment.

Ask Insightful Questions

Prepare some thoughtful questions about the company’s data strategy and the team’s current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.

Junior Data Engineer — Hybrid Data Pipelines & SQL
Trainline plc

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