At a Glance
- Tasks: Design and build scalable ETL pipelines and data solutions in a cloud environment.
- Company: Join a tech-focused organisation delivering innovative data solutions.
- Benefits: Competitive salary, mostly remote work, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on data governance and compliance.
- Why this job: Make an impact by building robust data platforms and working with cutting-edge technologies.
- Qualifications: Experience in AWS, ETL processes, and Python programming required.
The predicted salary is between 65000 - 80000 € per year.
An exciting opportunity has arisen for an experienced Senior Data Engineer to join a growing technology-focused organisation delivering scalable, enterprise-grade data solutions within a modern cloud environment. This role is ideal for someone who enjoys building robust data platforms from the ground up and working across large-scale ETL, cloud-native services, API integrations, and data governance initiatives.
Key Responsibilities
- Design, build and maintain scalable ETL pipelines and data ingestion processes across a wide variety of structured and unstructured data sources.
- Develop data extraction solutions using RESTful APIs and modern integration techniques.
- Work extensively with AWS-native data and analytics services including Glue, Athena, DataBrew, Lake Formation, EMR, MSK and Kinesis.
- Implement data quality, profiling and validation processes to ensure integrity, accuracy and completeness of datasets.
- Contribute within an Agile delivery environment, supporting the design, development and deployment of Java and REST-based domain data services.
- Support scalable, high-performance systems aligned to modern MACH architectural principles.
- Ensure best practice around data governance, security, privacy and compliance standards.
Senior Data Engineer employer: Gleeson Recruitment Ltd
Join a forward-thinking technology organisation in the West Midlands that champions innovation and collaboration, offering a mostly remote work environment with occasional office visits. As a Senior Data Engineer, you'll benefit from a culture that prioritises employee growth through continuous learning opportunities and a commitment to cutting-edge data solutions, all while enjoying a competitive salary and a supportive team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and ETL. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with ETL processes and data governance. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about data engineering. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, ETL processes, and Python. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built scalable data platforms or worked with large-scale ETL. We love seeing real examples of your work that demonstrate your expertise in data solutions.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're excited about this role and how you can contribute to our team at StudySmarter. We appreciate straightforward communication!
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 Gleeson Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in AWS services like Glue, Athena, and Kinesis. Brush up on your ETL processes and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Highlight how you designed and built scalable solutions, especially in cloud environments, to demonstrate your hands-on experience.
✨Understand Data Governance
Familiarise yourself with best practices around data governance, security, and compliance. Be prepared to discuss how you’ve ensured data integrity and quality in your previous roles.
✨Embrace Agile Methodologies
Since the role involves working in an Agile environment, think about your experiences with Agile practices. Be ready to explain how you’ve contributed to team dynamics and project success in a fast-paced setting.
