At a Glance
- Tasks: Lead the design and optimisation of our data platform for impactful analytics.
- Company: Join Doctor Care Anywhere, the UK's largest telehealth provider, committed to patient care.
- Benefits: Enjoy competitive salary, health consultations, 25 days holiday, and hybrid working.
- Why this job: Shape the future of healthcare with innovative data solutions and make a real difference.
- Qualifications: Strong experience in Azure SQL, data engineering, and leadership skills required.
- Other info: Collaborative environment with excellent growth opportunities and a focus on wellbeing.
The predicted salary is between 72000 - 108000 £ per year.
Thanks for stopping by! We’re Doctor Care Anywhere: Doctor Care Anywhere Group plc (DCA) is the UK’s largest private provider of telehealth services. The Company works with insurers, healthcare providers and corporate customers to serve patients with a range of digitally enabled telehealth services on its proprietary platform. DCA is committed to delivering the best possible patient experience and clinical care through digitally enabled, joined up, evidence-based pathways. DCA’s strategic ambition is to be the UK market leader in digitally enabled primary care, helping to meet the health needs of patients and payors in a challenging and fast changing environment.
The role We are seeking a Lead Data Engineer to drive the design, development, and optimisation of our data platform. This role is critical in shaping our data engineering practices, enabling high-quality analytics, and ensuring reliable data delivery across the organisation. We’re looking for someone who is a strong technical leader, with experience in the Microsoft data stack or similar platforms. You’ll collaborate with senior stakeholders, communicate clearly, and help set high engineering standards by leading through example.
Application Deadline: 9am Friday 27th February
Salary: £90,000 per annum
Key accountabilities / responsibilities
- Lead the design, build, and maintenance of scalable data pipelines and data platform components.
- Architect and optimise solutions using Azure SQL, Azure Data Factory (ADF), Databricks, and related Azure services.
- Oversee data ingestion, transformation, and integration processes to support analytics, reporting, and operational data needs.
- Mentor and guide a team of data engineers, promoting best practices and engineering standards.
- Collaborate closely with business stakeholders, analysts, and product owners to translate requirements into robust technical solutions.
- Ensure data quality, governance, and security standards are upheld across all data engineering deliverables.
- Evaluate new tools, technologies, and methodologies to enhance the data engineering function.
- Support the evolution of our cloud data strategy and contribute to architectural decisions.
Technical Expertise
- Strong hands‑on experience with Azure SQL / SQL Server
- Azure Data Factory (ADF) for orchestration and data pipelines
- Databricks (Spark, Delta Lake, PySpark/Scala)
- Azure cloud services (Storage, Key Vault, Functions, etc.)
- Proven experience designing and implementing modern data architectures (e.g., lakehouse, data warehouse, ELT frameworks).
- Strong proficiency in SQL and at least one programming language (Python preferred).
- Understanding of CI/CD pipelines and DevOps practices for data engineering.
- Experience working with structured and unstructured data at scale.
Desirable / Nice to Have
- Snowflake: exposure to Snowflake architecture, SQL, and pipelines.
- Dynamics 365 / Dataverse: understanding of underlying data structures and integration approaches.
- Experience with Power BI data modelling concepts.
- Knowledge of data governance tools and practices.
Interpersonal skills
- Excellent communication and stakeholder management — able to engage with both technical and non‑technical audiences.
- Strong leadership qualities with experience mentoring or guiding engineering teams.
- A collaborative, personable approach — able to build trust and influence across the organisation.
- Problem‑solver with a focus on delivering pragmatic, effective solutions.
- Comfortable working in an agile, fast-paced environment.
We understand the importance of health and wellbeing, for our patients and for our team. As a valued member of our business, you’ll be supported, respected, and empowered to grow, with the freedom to make the most of your role and your career.
As part of our team, you’ll have access to:
- Doctor Care Anywhere subscription: For you and 5 of your loved ones, Get ready to enjoy health consultations on the go!
- Company Bonus: We love rewarding our team for their dedication and achievements.
- 25 Days Holiday + Bank Holidays: You've earned it! Enjoy time off to recharge, explore, and make incredible memories.
- Birthday Day Off: Go and celebrate however you like!
- Buy up to 5 days of additional annual leave (FTE) as part of our focus on health and wellbeing
- Charity Days: Join us in giving back to the community! We're all about making a difference together.
- Enhanced Maternity and Paternity Pay: We've got your back with extra support during this special time.
- Bike2Work Scheme: We love an eco-friendly commute!
- Cross-Team Collaboration Opportunities: Join the fun in our autonomous work environment with plenty of chances to collaborate and shine.
- Hybrid Working: An agile and autonomous hybrid work environment.
- Development Opportunities: Get ready to grow, learn, and make strides in your career!
- 30-Day Work Abroad Allowance: Take your laptop overseas and work for up to 30 days a year.
Doctor Care Anywhere is an equal opportunity employer. We’re committed to creating an inclusive environment for all employees. Doctor Care Anywhere is committed to safeguarding and promoting the welfare of its patients and expects all Colleagues to share this commitment. This post is subject to satisfactory DBS and reference checks.
Data Engineering Lead employer: Doctor Care Anywhere
Contact Detail:
Doctor Care Anywhere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Show off your projects! If you've worked on any data engineering projects, make sure to highlight them during interviews. Having tangible examples of your work can really set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Doctor Care Anywhere.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with Azure SQL, Data Factory, and any relevant projects that showcase your skills in building scalable data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for DCA. Mention your leadership experience and how you can contribute to shaping their data engineering practices.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of how you've used tools like Databricks or Python in past projects. This will help us see your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates!
How to prepare for a job interview at Doctor Care Anywhere
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft data stack, especially Azure SQL, Azure Data Factory, and Databricks. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and guide a team. Prepare examples of how you've led teams in the past, focusing on how you promoted best practices and engineering standards.
✨Communicate Clearly
You’ll be collaborating with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think of examples where you successfully communicated technical solutions to non-technical audiences.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Be ready to discuss specific challenges you've faced in data engineering and how you approached finding effective solutions, especially in an agile environment.