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- Tasks: Lead complex data engineering projects using Databricks and cloud platforms.
- Company: Join DATAPAO, a rapidly growing data consulting firm recognised for innovation.
- Benefits: Enjoy remote work, flexible PTO, learning opportunities, and a sign-up bonus.
- Why this job: Be the first UK hire and shape our regional growth while working with top global clients.
- Qualifications: 5+ years in Data Engineering with expertise in Databricks and cloud platforms.
- Other info: Opportunity for personal growth and impact in a transparent, high-trust culture.
The predicted salary is between 56000 - 84000 £ per year.
Join to apply for the Senior Data Engineer (Databricks) role at DATAPAO. At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and Data Science consulting company, recognised for our innovation and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year and have achieved a second consecutive appearance on the Financial Times FT1000 list.
We are currently looking for a Senior Data Engineer to join us remotely in the UK. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.
What will you do?
As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Our projects are fast-paced, typically 2 to 4 months long, and primarily use Apache Spark/Databricks on AWS/Azure. You will manage customer relationships either alone or with a Project Manager, and support our pre-sales, mentoring, and hiring efforts.
What does it take to fit the bill?
- Technical Expertise: 5+ years in Data Engineering, focusing on cloud platforms (AWS, Azure, GCP); Proven experience with Databricks (PySpark, SQL, Delta Lake, Unity Catalog); Extensive ETL/ELT and data pipeline orchestration experience (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions); Proficiency in SQL and Python for data transformation and optimisation; Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Bicep); Hands-on experience with Databricks integration with BI tools (Power BI, Tableau, Looker).
- Consulting & Client-Facing Skills: Experience in consulting or product companies with a customer-facing mindset; ability to scope, gather requirements, design solutions, and communicate effectively; Successful delivery of Data Lakehouse and cloud migration projects; Ability to explain technical concepts to non-technical audiences and facilitate decision-making.
- Operational & Soft Skills: Ready to contribute immediately to live projects; Adaptability and problem-solving skills in a fast-paced environment; Excellent communication skills in writing and speaking.
What do we offer?
Opportunity to impact our growth as the first UK hire, with regional expansion leadership. Benefits include: Remote work with a one-month onboarding in Budapest and quarterly visits; Learning opportunities with Databricks courses, certifications, and internal resources; Flexible PTO; Paternity leave; Employee Assistance Program; Pension and private health insurance via Remote.com; High-quality equipment and a sign-up bonus of £1000; Transparent, high-trust culture.
The gross salary range is £70,000 to £100,000 per year, based on assessed seniority. We value diversity and are open to passionate candidates who may not meet every requirement. Your privacy is important to us, and your data will be used solely for recruitment purposes.
Contact Detail:
DATAPAO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Databricks)
✨Tip Number 1
Familiarise yourself with Databricks and its ecosystem. Since this role specifically requires expertise in Databricks, make sure you can discuss your experience with PySpark, SQL, and Delta Lake confidently during any conversations.
✨Tip Number 2
Highlight your client-facing skills. This position involves managing customer relationships, so be prepared to share examples of how you've successfully communicated technical concepts to non-technical audiences in previous roles.
✨Tip Number 3
Showcase your adaptability and problem-solving skills. Given the fast-paced nature of the projects, be ready to discuss specific instances where you've quickly adapted to changes or solved complex problems in a data engineering context.
✨Tip Number 4
Network with current employees or industry professionals who have experience with DATAPAO. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
We think you need these skills to ace Senior Data Engineer (Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Engineering, particularly with Databricks and cloud platforms like AWS or Azure. Use specific examples to demonstrate your technical expertise and project successes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role at DATAPAO. Mention how your skills align with their needs and express your enthusiasm for contributing to their growth as the first UK hire.
Highlight Client-Facing Experience: Since the role requires consulting and client-facing skills, emphasise any previous experience where you successfully managed customer relationships or delivered projects. This will show your ability to communicate effectively with both technical and non-technical audiences.
Showcase Problem-Solving Skills: In your application, provide examples of how you've adapted to challenges in fast-paced environments. Highlight your problem-solving skills and how they have contributed to successful project outcomes, especially in data engineering contexts.
How to prepare for a job interview at DATAPAO
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Databricks, Apache Spark, and cloud platforms like AWS or Azure. Highlight specific projects where you've successfully implemented ETL/ELT processes and data pipeline orchestration.
✨Demonstrate Client-Facing Skills
Since this role involves managing customer relationships, be ready to share examples of how you've effectively communicated technical concepts to non-technical audiences. Discuss your experience in scoping projects and gathering requirements.
✨Emphasise Adaptability and Problem-Solving
Given the fast-paced nature of the projects, illustrate your ability to adapt to changing circumstances and solve problems on the fly. Share anecdotes that showcase your quick thinking and resourcefulness.
✨Prepare Questions for the Interviewers
Engage with your interviewers by preparing thoughtful questions about DATAPAO's projects, culture, and future plans. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
