At a Glance
- Tasks: Design and build data pipelines in a cloud-native environment.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Competitive salary, 5% bonus, hybrid work model, and career development.
- Other info: Exciting opportunity for growth in a dynamic, tech-driven environment.
- Why this job: Join a multidisciplinary team and influence cutting-edge data solutions.
- Qualifications: Detail-oriented with experience in data engineering and cloud technologies.
The predicted salary is between 33000 - 39000 € per year.
Location: Edinburgh
Hybrid role: working 2 days a week in the office
Salary: £33,000 to £39,000 pa plus 5% bonus
Contract: 12-month fixed term contract
Our market-leading financial services client is seeking a motivated, detail-focused Junior Data Engineer to join the Business Transaction Banking division. This role involves building, optimising, and scaling data pipelines and large-scale data processing workloads in a cloud-native environment. You will work with modern distributed data systems, contribute to data platform modernisation, and support large-scale ingestion, transformation, and analytics workloads.
The role offers the opportunity to influence platform-wide data patterns, contribute to cloud modernisation and be part of a multidisciplinary innovation lab focused on AI, data engineering and next-gen platform engineering.
Key Responsibilities- Design and deliver end-to-end data pipelines on cloud platforms (Google Cloud Platform preferred).
- Building scalable data workflows using distributed technologies such as Spark, Flink, Storm, or similar.
- Develop robust processing and migration pipelines, including support for legacy DataStage decommissioning and modernisation.
- Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB).
Junior Data Engineer in Bonnyrigg employer: Pontoon
Join a forward-thinking financial services firm in Edinburgh, where innovation meets opportunity. As a Junior Data Engineer, you'll thrive in a hybrid work environment that promotes collaboration and flexibility, while enjoying competitive salary packages and a 5% bonus. With a strong focus on employee growth, you'll have access to cutting-edge technology and the chance to contribute to transformative projects in AI and data engineering, making this an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Bonnyrigg
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving data pipelines and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Junior Data Engineer in Bonnyrigg
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Junior Data Engineer role. Highlight relevant skills and experiences that match the job description, especially around data pipelines and cloud platforms. We want to see how you can contribute to our team!
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 your background aligns with our needs. Be sure to mention any experience with distributed technologies like Spark or Flink.
Showcase Your Projects:If you've worked on any projects related to data processing or cloud environments, make sure to include them in your application. We love seeing practical examples of your work and how you’ve tackled challenges in the past.
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 you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Pontoon
✨Know Your Data Tools
Familiarise yourself with the data technologies mentioned in the job description, like Google Cloud Platform, Spark, and NoSQL databases. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about specific instances where you optimised a data pipeline or resolved issues with data processing. This will demonstrate your analytical thinking and technical prowess.
✨Understand the Company’s Vision
Research the company’s approach to data engineering and their focus on AI and cloud modernisation. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the role and can contribute to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and the projects you'll be working on. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
