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Data Engineering Lead at Doctor Care Anywhere | JobVerse
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Data Engineering Lead
Doctor Care Anywhere
Website
LinkedIn
Data Engineering Lead
United Kingdom
Full Time
4 hours ago
$90,000 GBP
No Sponsorship
Apply Now
Key skills
Azure
Cloud
PySpark
Python
Scala
Spark
SQL
Vault
Go
ELT
Data Engineering
Analytics
BI
Power BI
Snowflake
Databricks
Azure SQL
SQL Server
Agile
CI/CD
Leadership
Stakeholder Management
Mentoring
Communication
Collaboration
About this role
Role Overview
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.
Requirements
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: Exposure to Snowflake architecture, SQL, and pipelines.
Understanding of underlying data structures and integration approaches (Dynamics 365 / Dataverse).
Experience with Power BI data modelling concepts.
Knowledge of data governance tools and practices.
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.
Tech Stack
Azure
Cloud
PySpark
Python
Scala
Spark
SQL
Vault
Benefits
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.
Apply Now
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