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For Companies At a Glance
- Tasks: Design and maintain scalable data platforms for analytics and reporting.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Tackle complex data challenges and make a real impact in an agile environment.
- Qualifications: Experience with SQL, Java, and cloud tools; problem-solving skills are a must.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
We are looking for a Data Engineer to help design, build, and maintain scalable data platforms that support analytics, reporting, and operational decision-making. You will work closely with BI, Finance, and global cross-functional teams to deliver reliable, high-quality data solutions. This role is ideal for someone who enjoys solving complex data problems, working with modern cloud tools, and contributing to continuous improvement in an agile environment.
Key Responsibilities
- Develop and maintain scalable data infrastructure, cloud-native workflows, and ETL/ELT pipelines to support analytics, reporting, and operational use cases.
- Transform, model, and organize data from diverse sources to enable accurate reporting and data-driven insights.
- Improve data quality, reliability, and system performance by identifying issues and optimizing architecture and processes.
- Monitor, troubleshoot, and resolve data pipeline failures, discrepancies, and platform issues, including participation in on-call support when required.
- Prototype analytical tools, algorithms, and automation to support complex analysis and improve operational efficiency.
- Collaborate with BI, Finance, and global teams to deliver efficient, scalable data solutions.
- Create and maintain clear documentation, including configurations, specifications, test scripts, and project tracking materials.
- Contribute to Agile delivery, continuous improvement initiatives, and the evolution of data engineering best practices.
Qualifications & Experience
- Bachelor’s degree in Computer Science or a related technical discipline (or equivalent experience).
- 2–4 years of experience with SQL, such as Oracle, PostgreSQL, or similar databases.
- 2–4 years of experience with Java or Groovy.
- 2+ years of experience with orchestration and ingestion tools, such as Airflow or Airbyte.
- 2+ years of experience working with web service APIs (REST and/or SOAP).
- Experience with cloud data warehouse and ETL/ELT solutions is a plus (e.g., Snowflake, Redshift, dbt).
- Experience working in an Agile environment.
- Knowledge of version control systems (e.g., Git).
- Experience with automation, including unit and integration testing.
- Understanding of cloud storage concepts, such as S3, blob storage, or object buckets.
What We’re Looking For
- A proactive, logical thinker who takes initiative.
- Strong problem-solving and troubleshooting skills.
- Consultative mindset with the ability to understand requirements, identify risks, and make sound design recommendations.
- Ability to clearly explain design decisions and understand downstream impacts.
- Strong collaboration, prioritization, and adaptability skills in a fast-paced environment.
Data Engineer employer: Realtime Recruitment
Contact Detail:
Realtime Recruitment 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 people in the industry, attend meetups, and connect with potential colleagues 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 SQL, Java, or cloud tools. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled complex data problems and improved system performance in past roles.
✨Tip Number 4
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 our team at StudySmarter.
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 cloud tools. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to build scalable data platforms. We love seeing real examples of your work, especially if they involve ETL/ELT pipelines or cloud solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications!
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 the role. We can’t wait to hear from you!
How to prepare for a job interview at Realtime Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Java, and orchestration tools. Brush up on your knowledge of cloud data warehouses and ETL/ELT solutions, as these will likely come up during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you identified issues, optimised processes, or improved data quality in previous roles. This will demonstrate your proactive approach and logical thinking.
✨Collaboration is Key
Since this role involves working closely with BI, Finance, and global teams, be ready to talk about your experience collaborating across departments. Highlight any projects where teamwork led to successful outcomes, showcasing your adaptability in a fast-paced environment.
✨Documentation Matters
Emphasise your ability to create clear documentation. Be prepared to discuss how you’ve maintained configurations, specifications, and project tracking materials in past roles. This shows your attention to detail and commitment to best practices in data engineering.
