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- Tasks: Develop and construct data products, integrate systems, and optimise data flows.
- Company: Innovative company focused on mobility solutions and user wellbeing.
- Benefits: Competitive salary, 25 days holiday, health cash plan, and flexible working.
- Why this job: Join a unique environment and make a real impact in mobility technology.
- Qualifications: Relevant degree, experience in data engineering, and proficiency in Azure and T-SQL.
- Other info: Hybrid working model with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Our evidence-based approach and commitment to continuously challenge possibilities ensures our mobility solutions prioritise the wellbeing and long-term health of our users. Through science, technology, and maintaining a clear focus on people, we make mobility possible. We have an exciting opportunity for a Data Engineer to join our growing IT team.
This role is offered on a hybrid working pattern, with the expectation of two days per week in the Basingstoke Office.
The role:
- Develop and construct data products and services and integrate them into systems and business processes.
- Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems.
- Re-engineer manual data flows to enable scaling and repeatable use.
- Support the build of data streaming systems.
- Write ETL / ELT scripts and code to ensure optimal performance.
- Develop data models to support self-service business intelligence reporting that can be re-used to enforce data standards and quality.
- Build accessible data for analysis.
- Recognise opportunities to re-use existing data flows.
- Lead the build of data streaming systems.
- Lead work on database management.
- Define and implement database architectures that meet business requirements for data availability.
- Provide third line support of incidents and problems through systematic investigation and root cause analysis.
- Carry out code reviews and implement changes via DevOps pipelines.
What can we offer you?
- Highly competitive salary
- 25 days holiday (rising with service)
- Option to purchase additional holiday.
- On Demand Pay
- Pension
- Death in Service
- Discounted shopping and leisure activities
- Health cash plan
- Cycle to work scheme
What are we looking for?
- Relevant degree or industry recognised qualification.
- Previous experience in a similar role.
- Knowledge of Azure ETL services (Data Factory, Synapse etc).
- Experience of using CI/CD, MS Azure and Azure Dev Ops in an agile environment.
- Strong proficiency in T-SQL and writing quality T-SQL scripts.
- Experience with various databases e.g. MS SQL, Azure Cosmos DB.
- Skilled at optimising large and more complicated SQL statements.
- Proficiency in Python and experience with PySpark.
- Experience of REST API standards.
- Proficiency in writing clean, readable, and secure code for Azure backend services, i.e. functions, utility functions etc.
- Experience of Agile development methodologies.
- Good understanding of Service Oriented architecture and approaches to data integration and serverless application development e.g. Logic Apps, Function Apps.
- Curious, eager to learn with a growth mindset.
This is a fantastic opportunity to work within a unique environment and contribute to the success of our award-winning organisation. If you feel like you meet the above criteria for this exciting Data Engineer opportunity, then please apply now!
Data Engineer in Basingstoke employer: Blatchford
Contact Detail:
Blatchford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure ETL services or Python. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, especially around database management and data flows.
✨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, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with Azure ETL services and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission of making mobility possible. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your proficiency in T-SQL, Python, and any experience with CI/CD processes. We love seeing candidates who can hit the ground running with their technical skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Blatchford
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Azure ETL services and T-SQL. Brush up on your Python and PySpark skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've optimised data flows or solved complex database issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company’s Mission
Research the company’s focus on prosthetic technology and mobility solutions. Be ready to explain how your role as a Data Engineer can contribute to their mission of prioritising user wellbeing and long-term health.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the hybrid working model, and how data engineering fits into the broader business strategy. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
