Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using cutting-edge tools and technologies.
- Company: Join Qodea, a global tech group at the forefront of innovation.
- Benefits: Competitive salary, health package, 28 days leave, and flexible work options.
- Other info: Dynamic environment with opportunities for continuous growth and mentorship.
- Why this job: Make a real impact by solving complex problems for top global brands.
- Qualifications: Experience with cloud platforms, SQL, and big data technologies required.
The predicted salary is between 60000 - 80000 £ per year.
Work where work matters. Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA. We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.
You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work. Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.
Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development. We are looking for a Senior Data Engineer to deliver solutions that surpass our customers' expectations, by utilising cutting-edge tools and technologies.
We look for people who embody:
- Innovation to solve the hardest problems.
- Accountability for every result.
- Integrity always.
About The Role: The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets. This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.
What You’ll Do:
- Develop and maintain automated data processing pipelines using Google Cloud:
- Design, build, and maintain data pipelines to support data ingestion, ETL, and storage.
- Build and maintain automated data pipelines to monitor data quality and troubleshoot issues.
- Stay up-to-date with emerging trends and technologies in big data and data engineering.
- Ensure data quality, accuracy, and completeness.
- Implement and enforce data governance policies and procedures to ensure data quality and accuracy.
- Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes.
- Develop and maintain data models to support analytics and reporting.
- Monitor and maintain data infrastructure to ensure availability and performance.
What Success Looks Like:
- Experience in contributing to technical decision making during in-flight projects.
- A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills.
- Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers.
- Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
- Experience with big data technologies such as Hadoop, Spark, or Hive.
- Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow.
- Proficiency in Python and at least one other programming language such as Java, or Scala.
- Willingness to mentor more junior members of the team.
- Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
We believe in supporting our team members both professionally and personally. Here's how we invest in you:
- Compensation and Financial Well-being: Competitive base salary, discretionary company bonus scheme, employee referral scheme, meal vouchers.
- Health and Wellness: Health Care Package, Life and Health Insurance.
- Work-Life Balance and Growth: Bookster, 28 days of annual leave.
Senior Data Engineer employer: Qodea
Contact Detail:
Qodea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Qodea. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. When you apply through our website, include links to your work so we can see your talent in action.
✨Tip Number 3
Prepare for the unexpected! In interviews, be ready to tackle real-world problems and demonstrate your problem-solving skills. Think about how you would approach challenges that don’t have clear answers—this is what we value at Qodea.
✨Tip Number 4
Follow up after your interview! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in our minds as we make decisions. Plus, it’s a great chance to reiterate why you’re the perfect fit!
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 cloud platforms, data pipelines, and any big data technologies you've worked with. We want to see how your skills align with what we're looking for!
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 you can contribute to our innovative projects. Let us know what excites you about working at Qodea!
Showcase Your Problem-Solving Skills: In your application, don't just list your skills—show us how you've used them to solve real problems. Share specific examples of projects where you made an impact, especially those involving complex data sets or cutting-edge technologies.
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 us you're keen on joining our team!
How to prepare for a job interview at Qodea
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, especially Google Cloud, SQL, and big data technologies like Hadoop and Spark. Brush up on your Python skills too, as you’ll want to demonstrate your technical prowess during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in previous roles. Think about how you’ve designed and maintained data pipelines or improved data quality. This will show that you embody the innovation and accountability Qodea is looking for.
✨Communicate Effectively
Since strong communication is key, practice explaining your technical decisions and processes in a way that’s easy to understand. Be ready to engage with stakeholders and demonstrate how you can collaborate effectively with data scientists and analysts.
✨Emphasise Continuous Learning
Qodea values growth and development, so be prepared to discuss how you stay updated with emerging trends in data engineering. Share any recent courses, certifications, or projects that showcase your commitment to evolving your skills in this fast-paced field.