At a Glance
- Tasks: Design and maintain data pipelines for analytics and AI initiatives.
- Company: Leading tech firm in Central London with a focus on innovation.
- Benefits: Flexible office days, competitive salary, and opportunities for professional growth.
- Other info: High-impact roles with excellent career advancement potential.
- Why this job: Join a dynamic team and influence cutting-edge data architecture.
- Qualifications: Strong SQL, Python, and cloud experience required.
The predicted salary is between 36000 - 60000 £ per year.
2 positions available - 1 senior, 1 strong mid level.
Location: Central London (1-2 office days).
Data sits at the centre of this organisation’s strategy, powering customer-facing SaaS products, advanced analytics, AI capabilities and internal decision-making. We’re looking for 2 Data Engineers to play a key role in evolving an already mature modern data stack into something genuinely best-in-class. You’ll operate in a fast-moving environment alongside product, analytics and engineering teams, contributing directly to datasets and data products used across AI initiatives and customer-facing platforms. These are high-impact roles with real influence over architecture, standards and delivery.
What you’ll be doing:
- Design, build and maintain robust data pipelines, products and services that power analytics, AI and external features.
- Partner with business domains to understand requirements and translate them into well-modelled, high-quality datasets.
- Apply modern data management principles and industry best practice proactively.
- Design and optimise scalable data solutions, balancing performance, cost and reliability.
- Monitor and resolve data quality and performance issues, ensuring consistent, well-governed outputs.
- Communicate technical concepts clearly to non-technical stakeholders.
- Contribute to roadmap definition, shaping deliverables in ambiguous environments and driving measurable outcomes.
- Coach and support colleagues, raising engineering standards across the wider team.
Must have requirements:
- Cloud - ideally AWS.
- Strong SQL and Python dbt experience for transformation and modelling.
- Orchestration tools such as Airflow or Dagster.
- Infrastructure-as-code (ideally with Terraform).
- Experience with relational databases.
Nice to haves:
- Modern cloud-based data platforms (Snowflake or equivalent).
- Fivetran or similar.
- Containerisation and CI/CD experience.
- DataOps practices.
- Large-scale processing frameworks such as Spark.
- Exposure to AI/MLOps concepts.
Please note: VISA sponsorship is NOT available for these roles.
Senior Data Engineer employer: Wave Group
Wave Group is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from competitive salaries, flexible hybrid working arrangements, and opportunities for professional growth while contributing to impactful projects that modernize policing through advanced AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with SQL, Python, and cloud platforms like AWS. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t forget to tailor your approach! Research the company’s data strategy and think about how your skills can contribute to their goals. This shows you’re genuinely interested and ready to make an impact.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your cloud experience, SQL and Python skills, and any orchestration tools you've used. We want to see how you can contribute to our data stack!
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 your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements!
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in AWS, dbt, and any experience with data platforms like Snowflake. We’re looking for candidates who can hit the ground running, so make those skills pop!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Wave Group
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack mentioned in the job description. Brush up on your knowledge of AWS, SQL, Python, and tools like dbt and Airflow. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you resolved them. Think about instances where you had to monitor and resolve data quality issues or optimise data solutions. This will demonstrate your ability to handle the high-impact nature of the role and your proactive approach to problem-solving.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex technical concepts in simple terms. You might be asked to describe a project or a data pipeline you've built, so focus on clarity and ensuring your audience understands the value of your work.
✨Be Ready to Collaborate
This role involves partnering with various teams, so be prepared to discuss your experience working collaboratively. Share examples of how you've contributed to team goals, coached colleagues, or shaped deliverables in ambiguous environments. Highlighting your teamwork skills will show that you can thrive in a fast-moving environment.
