(Remote) Data Engineer
London, England, United Kingdom - Remote
Applications have closed
Doctor Care
Access appointments for health advice, treatment or prescriptions from a fully qualified GP or ANP 24/7, 365 days a year.Thanks for stopping by! We’re Doctor Care Anywhere: a leading digital platform, with a clear vision to radically transform the future of healthcare – and that all starts with our brilliant team.
From doctors and designers to software developers and marketers – we’re proud of our people, who love working together to enhance patient experiences for the better. It’s why every year, we help over 2 million people speak to a GP by video or phone, anywhere in the world.
Our story started back in 2013, but as we continue to rapidly grow, we’re looking for the very best talent to help us achieve our ambitious goals. If you’re highly motivated, hard-working and ready to dream big – while having lots of fun at the same time – then we want to hear from you today!
Requirements
- Build and interrogate ETL/ELT processes to make data available to many parts of the business. Ensure reliability and data quality of data engineering solutions are of the highest quality and follow bets industry practice.
- Build data loading services for the purpose of importing data from numerous, disparate data sources, inclusive of APIs, logs Structured, and non-structured data.
- Build and maintain optimized and highly available data pipelines that translate raw data into powerful engineering solutions.
- Design , architect, implement, and support key datasets that make available structured and timely access to actionable business insights
- Keep track of industry best practices and trends, and through acquired knowledge, take advantage of process and system improvement opportunities
Key attributes/ “person spec”
- A self-starter. Able to join a Dynamic and highly productive Data Engineering Team and quickly get up to speed with existing data processes and pipelines and make performance recommendations.
- Able to create relationships with customers and turn requirements in to Features and Stories to build , sustainable and scalable Data Engineering solutions from a wide range of complex data sources and destinations. Covering the complete ETL/ELT process.
- Excellent problem solver able to analyse data processes, identify issues/opportunities, design and implement pragmatic solutions.
- Proven abilities to be pro-active, take initiative and be innovative within a team environment, naturally will be an excellent communicator and contributes well in team discussions and solution ideas.
- Able to work on several projects at the same time and prioritise effectively.
- Ability to build complex, sustainable and scalable Data Engineering pipelines from concept through to end delivery
- Comprehensive Azure Data Factory and or Synapse Experience
- Advanced SQL & TSQL knowledge, including Stored procedures, Performance Tuning and Database Design.
- Experience of Deploying CI/CD Data Solutions Through Azure Devops and utilising project deployment through SSDT
- Comfortable with XML and JSON
- Knowledge of Data Lake and Blob Storage and Big Data processing
- Experience of other tools and services available through the Azure Portal
- Experience with Azure Security (Access control, Integration runtimes, Managed Identities, Service Principals, Virtual Networks and connectivity)
Software experience
Essential
- Ability to build complex, sustainable and scalable Data Engineering pipelines from concept through to end delivery
- Comprehensive Azure Data Factory and or Synapse Experience
- Advanced SQL & TSQL knowledge, including Stored procedures, Performance Tuning and Database Design.
- Experience of Deploying CI/CD Data Solutions Through Azure Devops and utilising project deployment through SSDT
- Comfortable with XML and JSON
- Knowledge of Data Lake and Blob Storage and Big Data processing
- Experience of other tools and services available through the Azure Portal
- Experience with Azure Security (Access control, Integration runtimes, Managed Identities, Service Principals, Virtual Networks and connectivity)
Desirable
- Experience with Azure DataBricks
- A second Language such as Python or PySpark
- Experience of Delta Live Tables and Lakehouse Architecture
- Working towards Azure Accreditations
- Power BI Data Modelling
Benefits
We understand the importance of good health and happiness for our patients and our team is just the same. You should expect to be as supported and valued being a member of our team and have the freedom to make the most of your role and career with us! When you’re part of the team you will have access to:
- Free Private Medical Insurance (savings on vision and dental care plus 40% off Nuffield Health gym membership)
- Doctor Care Anywhere subscription for you + 5 members of your friends or family
- Company bonus
- 25 days holiday + bank holidays
- 4 x charity days a year
- Birthday Day Off!
- Enhanced Maternity and Paternity pay
- Life Assurance
- Bike2Work scheme
- Cross-team collaboration opportunities in an autonomous environment
- Remote / Flexible Working with contribution towards home set up and your laptop provided
- Range of Development opportunities including learning and progression
Doctor Care Anywhere are committed to safeguarding and promoting the welfare of their patients and expects all Colleagues to share this commitment. This post is subject to satisfactory DBS and reference checks.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure Big Data CI/CD Databricks Data pipelines Data quality DevOps ELT Engineering ETL JSON Pipelines Power BI PySpark Python Security SQL T-SQL XML
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Gear Health care Parental leave Salary bonus
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