At a Glance
- Tasks: Design and build scalable ETL pipelines and data solutions in a cloud environment.
- Company: A growing tech organisation focused on innovative data solutions.
- Benefits: Competitive salary, mostly remote work, and opportunities for professional growth.
- Other info: Agile environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make an impact with cutting-edge data technologies.
- Qualifications: Experience in AWS, ETL processes, and Python programming.
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.
- Develop and optimise data processing solutions.
Senior Data Engineer employer: Gleeson Recruitment Group
Join a forward-thinking technology-focused organisation in the West Midlands, where you will thrive in a mostly remote work environment that promotes flexibility and work-life balance. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and be part of a collaborative culture that values innovation and excellence in delivering enterprise-grade data solutions. Enjoy competitive salaries and the chance to work with cutting-edge technologies while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, ETL, and Python. 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 common data engineering questions and scenarios. Practice explaining your thought process when designing ETL pipelines or working with cloud services – it’ll help you shine during the interview!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, ETL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, mention specific challenges you've faced in data engineering and how you tackled them. We love seeing candidates who can think critically and innovate solutions!
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’s super easy!
How to prepare for a job interview at Gleeson Recruitment Group
✨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 Python skills, as these will be crucial in the role. Being able to discuss specific projects where you've used these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially around data quality and governance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues effectively.
✨Understand Agile Methodologies
Since the role involves working in an Agile environment, be ready to talk about your experience with Agile practices. Share examples of how you've contributed to sprints or collaborated with cross-functional teams to deliver data solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
