At a Glance
- Tasks: Develop and construct data products, integrate systems, and optimise data flows.
- Company: Join a pioneering company focused on mobility solutions and user wellbeing.
- Benefits: Competitive salary, flexible hybrid working, 25 days holiday, and health cash plan.
- Why this job: Make a real impact in a unique environment while advancing your data engineering skills.
- Qualifications: Relevant degree, experience with Azure ETL services, and strong T-SQL proficiency.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 Β£ 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.
Key duties:
- Implementing data flows to connect operational systems, data for analytics and business intelligence (BI) systems.
- Re-engineering manual data flows to enable scaling and repeatable use.
- Supporting the build of data streaming systems.
- Writing ETL / ELT scripts and code to make sure the process performs optimally.
- Developing data models to support self-service business intelligence reporting that can be re-used to enforce data standards and quality.
- Building accessible data for analysis.
- Recognising opportunities to re-use existing data flows.
- Leading the build of data streaming systems.
- Leading work on database management.
- Defining and implementing database architectures that meet business requirements for data availability.
- Providing third line support of incidents and problems through systematic investigation and root cause analysis.
- Carrying 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.
- Flexible, Hybrid working.
- On Demand Pay
- Pension
- Death in Service
- Discounted shopping and leisure activities
- Health cash plan
- Cycle to work scheme
What are we looking for?
Key skills:
- 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 optimizing 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.
- Strong collaborator.
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 Ltd
Contact Detail:
Blatchford Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer in Basingstoke
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure ETL services or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with T-SQL, CI/CD, and data streaming systems. Practising common interview questions can help you feel more confident.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in Basingstoke
Some tips for your application π«‘
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with Azure ETL services and T-SQL, as these are key for us. 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 personal and engaging β we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, donβt hold back! Include examples that demonstrate your skills in building data products or optimising SQL statements. Weβre keen to see what youβve done and how it relates to our work.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you donβt miss out on any important updates from us. Plus, itβs super easy!
How to prepare for a job interview at Blatchford Ltd
β¨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure ETL services, T-SQL, and Python. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
β¨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data integration issues or optimised SQL queries. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
β¨Demonstrate Your Collaborative Spirit
Since this role involves working closely with other teams, be ready to share experiences where you've successfully collaborated on projects. Talk about how you communicate with team members and how you handle feedback.
β¨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data engineering and their future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.