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For Companies At a Glance
- Tasks: Build and maintain data pipelines that drive personalised healthcare experiences.
- Company: Join Eucalyptus, a forward-thinking company focused on impactful data solutions.
- Benefits: Enjoy competitive pay, wellness perks, and a supportive team culture.
- Other info: Flexible work environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in healthcare while collaborating with talented professionals.
- Qualifications: 6+ years in data engineering, strong SQL skills, and cloud platform familiarity.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
We’re looking for a Senior Data Engineer to join our growing UK data team. This role combines hands‑on engineering with real business impact: you’ll provide core data engineering support for the UK market, while also building novel data pipelines to unlock optimisation, personalisation, and advanced analytics across our data stack. You’ll work closely with data analysts, operations, marketing, and product teams to ensure our data is reliable, accessible, and actionable — helping us deliver more personalised healthcare experiences at scale.
What You’ll Do
- Own and maintain data pipelines that serve the UK business, ensuring accuracy, reliability, and efficiency.
- Partner with analysts and data scientists to deliver clean, well‑modelled datasets for reporting and experimentation.
- Design and build new data pipelines that enable optimisation and personalisation (e.g. user segmentation, recommendation features, lifecycle targeting).
- Collaborate with global engineering and platform teams to align on standards while advocating for UK‑specific requirements.
- Work with functional teams to provide bespoke solutions for specific use cases, including streaming reporting & analytics, real‑time data pipelines, and inference and personalisation services.
About You
- 6+ years of experience in data engineering or similar roles.
- Strong proficiency in SQL and modern data warehouses (BigQuery, Snowflake, or Redshift).
- Hands‑on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines/tools (dbt).
- Familiarity with cloud platforms (preferably GCP).
- Comfortable with Python for data transformation and pipeline development.
- Ability to distil requirements into a clear, bespoke solution that creates sustainable value.
- Strong communication skills — able to work with both technical and non‑technical stakeholders.
Benefits
- Make real impact, fast: We build in the open together, helping us learn and iterate more quickly to deliver high‑quality outcomes.
- Career support: Regular feedback, bi‑annual performance reviews, a professional development budget and leave to level up.
- Team culture: Autonomy, passion, and collaboration with a talented team.
- Stake in the business through our employee options program.
- New HQ in Old Street, three days a week in‑office.
- Monthly wellness allowance.
- Yearly personal development budget and extra leave days.
- 25 days holiday + bank holidays with enhanced parental leave.
- Office socials and a MacBook.
At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process. As set forth in Careers at Eucalyptus’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under applicable law.
Senior Data Engineer - UK in England employer: Eucalyptus
Contact Detail:
Eucalyptus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - UK in England
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 3
Show your passion for data engineering! During interviews, share your thoughts on the latest trends and technologies. This will help us see your enthusiasm and commitment to the field.
✨Tip Number 4
Don’t forget to 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!
We think you need these skills to ace Senior Data Engineer - UK in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, data pipelines, and any relevant tools like Airflow or dbt. 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! Share your passion for data engineering and how you can make an impact at StudySmarter. Don’t forget to mention specific projects or achievements that showcase your expertise.
Show Your Collaborative Spirit: We love teamwork! In your application, emphasise your ability to work with both technical and non-technical stakeholders. Share examples of how you’ve collaborated with analysts or product teams to deliver successful outcomes.
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, it shows you’re keen to join our team!
How to prepare for a job interview at Eucalyptus
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with modern data warehouses like BigQuery, Snowflake, or Redshift. Be ready to discuss your hands-on experience with orchestration tools like Airflow or Dagster, as well as ETL/ELT pipelines. This will show that you’re not just a theoretical expert but someone who can hit the ground running.
✨Showcase Your Collaboration Skills
Since this role involves working closely with analysts, data scientists, and various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any specific projects where you’ve partnered with non-technical stakeholders to deliver bespoke solutions. This will demonstrate your strong communication skills and ability to bridge the gap between technical and non-technical teams.
✨Prepare for Real-World Scenarios
Think about the types of data pipelines you might need to build for optimisation and personalisation. Be ready to discuss how you would approach user segmentation or recommendation features. Practising these scenarios will help you articulate your thought process and problem-solving skills during the interview.
✨Emphasise Your Impact
In your responses, focus on the real business impact of your work. Share specific examples of how your data engineering efforts have led to improved accuracy, reliability, or efficiency in previous roles. This will align perfectly with their goal of delivering personalised healthcare experiences and show that you understand the importance of your role in driving business outcomes.