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- Tasks: Design and develop automated data pipelines and transform data for insights.
- Company: Global payment processing company aiming to be a market leader.
- Benefits: Work from home, performance bonus, pension, and medical insurance.
- Why this job: Join a dynamic team and shape the future of data in an ambitious company.
- Qualifications: 3 years of SQL and Java experience, Agile environment familiarity.
- Other info: Celebrate diversity and thrive in a culture of collaboration.
The predicted salary is between 28800 - 48000 £ per year.
This is a fantastic opportunity to grow and evolve within a Data Engineering function with the opportunity to design and implement data-oriented capabilities. This global payment processing company is building the next generation of capabilities that powers their merchant-first ecosystem. You will be joining a company which is looking to become a market leader, and this ambition rings through every department and team. They believe that focused and empowered teams can do great things and want like-minded people to join them on this exciting journey.
Why this role? Joining a team with a 5-year plan to grow and expand their capabilities, the main tasks you will be focused on will be to drive the transformation of their data systems by designing and deploying architectures. You will be working in a dynamic and exciting, agile environment that includes multiple teams within the company. Culture fit and collaboration are as essential to this company as your technical capabilities, so sharing team achievements and individual successes are considered very important to them.
What you will be doing?
- Design and develop highly performant, resilient, automated data pipelines and data transformation applications, adapting technologies for ingesting, transforming, classifying, cleansing, and exposing data using creative schema design to meet objectives.
- Transform, model, and organise data from diverse sources to enable accurate reporting, advanced analytics, and data-driven insights.
- Improve data quality and system performance by identifying issues, optimising architecture, and refining processes for reliability and scalability.
- Collaborate with BI, finance, and cross-functional global teams to deliver robust, efficient, and scalable data solutions.
- Create and maintain clear documentation including configurations, specifications, test scripts, and project tracking materials.
- Contribute to agile processes, continuous improvement initiatives, and the advancement of engineering best practices.
What they are looking for:
- 3 years of experience with SQL knowledge.
- 3 years of experience with Java or Groovy languages.
- Experience in working within an Agile environment.
- Experience with cloud DW solutions and ELT/ETL solutions is also a plus (e.g., Snowflake, Redshift, DBT etc.).
- Knowledge of Cloud Storage Concepts (S3, BLOB store, Oracle Bucket, etc.).
- Experience with Automation, including Unit and Integration Testing.
- Have a self-starter attitude, manage multiple tasks and projects simultaneously, own deliverables end to end, prioritise workload effectively, and thrive in a dynamic environment.
- This individual must also work well under pressure to meet ongoing and overlapping deadlines within short time constraints.
What you'll get:
- The opportunity to work in a modernised company with great ambitions to grow and become a global market leader.
- The ability to work fully remote as well as the chance to attend regular social meet-ups hosted in Belfast.
- Work in a culture where differences are celebrated and everyone has the opportunity to thrive, personally and professionally.
Ready to shape the future of data in a growing, mission-driven company? Apply now and let's build something that matters.
Skills: SQL, data, Java
Benefits: Work From Home, Performance Bonus, Pension, Funding for Home Office, Medical Insurance
Data Engineer employer: Adepta Partners Limited
Contact Detail:
Adepta Partners Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Getting to know the team can give you insider info and make your application stand out.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a technical interview or a coding challenge. This is your moment to shine and demonstrate your data engineering prowess.
✨Tip Number 3
Be ready to chat about your past projects! Prepare to discuss how you've tackled challenges and improved data systems. This shows you're not just about theory but have hands-on experience.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Java, and any cloud solutions you've worked with. We want to see how your skills align with our mission to build a market-leading data ecosystem!
Showcase Your Projects: Include specific projects where you've designed and implemented data pipelines or transformed data systems. We love seeing real examples of your work that demonstrate your technical capabilities and creativity in problem-solving.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to include all relevant details about your experience. We appreciate straightforward communication that gets to the heart of your achievements!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Adepta Partners Limited
✨Know Your Data Tools
Make sure you brush up on your SQL and Java or Groovy skills before the interview. Be ready to discuss specific projects where you've designed data pipelines or worked with cloud DW solutions like Snowflake or Redshift. This will show that you not only understand the tools but can also apply them effectively.
✨Show Your Agile Mindset
Since the company values collaboration and agile processes, be prepared to share examples of how you've worked in an agile environment. Talk about how you’ve contributed to team success and adapted to changes quickly. This will demonstrate that you fit well within their dynamic culture.
✨Highlight Problem-Solving Skills
Think of specific instances where you've identified issues in data quality or system performance and how you optimised those processes. Discussing your approach to troubleshooting and refining architectures will showcase your analytical skills and proactive mindset.
✨Prepare Questions About Culture and Collaboration
Since culture fit is crucial for this company, come prepared with questions about team dynamics and how they celebrate individual and team achievements. This shows that you value collaboration and are genuinely interested in contributing to their mission-driven environment.
