At a Glance
- Tasks: Lead the design and delivery of cutting-edge data solutions in Microsoft Azure.
- Company: Join a forward-thinking team at Openwork, focused on cloud analytics.
- Benefits: Enjoy competitive salary, bonus scheme, pension matching, and flexible benefits.
- Other info: Dynamic environment with opportunities for professional growth and development.
- Why this job: Make a real impact in data engineering while mentoring junior talent.
- Qualifications: Proven Azure Data Engineering experience and strong relational database skills.
The predicted salary is between 60000 - 80000 € per year.
The opportunity: As an integral part of the Data Engineering Team, provide technical leadership and apply proven practical experience to deliver a modern cloud analytics solution for Openwork.
The benefits:
- Salary - tbc
- Bonus scheme - on target bonus - tbc
- Pension scheme - contribute up to 5% of your salary and Openwork will match you and put in an extra 5%
- Critical illness cover
- Income protection - 1x salary
- Death in service - 4x salary
- 25 days holiday + bank holidays, with the opportunity to buy up to an additional 10 days
- A range of other flexible benefits to include private medical insurance, dental insurance and much more.
Key Accountabilities:
- Architecture, design, development, and delivery of enterprise grade data solutions within Microsoft Azure
- Guide and support junior colleagues to develop their data engineering skills in Azure
- Work closely with analysts, architects, and stakeholders to understand and translate business requirements into technical solutions
- Stay up to date on evolving technologies in this field and ensure the Data Platform and the engineering team running it, remain current and adhere to the relevant data governance and compliance policies
- Act as the technical product owner for the cloud analytics platform (incl. data warehouse, operational data store, semantic layer, and reference data solution)
- Lead the design and modelling for the Data Engineering Team
- Produce and own the Data Model for the new DWH using dimensional modelling techniques
- Provide technical direction for Data and Business Analysts on the Data Transformation rules for mapping specifications
What will you need to succeed?
Qualifications / Experience:
- Experience in a commercial environment delivering data solutions within the following subject areas:
- Relational database design
- Data warehouse reference architectures
- Data migration
- MI/BI reporting
- Proven hands-on Azure Data Engineering experience in delivering pragmatic, data-led solutions to solve critical business challenges
- Strong Microsoft Azure expertise including Azure Data Factory, Azure Data Lake, Azure Synapse
- Experience working in an Agile environment (ideally utilising Azure DevOps)
- Financial Services industry experience (desirable)
Knowledge:
- Leading data technologies, data storage solutions, data warehousing, data science and IT infrastructure design
- Strong Microsoft Azure (full stack) expertise
- Knowledge of data architectural patterns and data modelling (e.g. Kimball)
- Modern CI/CD practices
- Azure DevOps / VSTS (desirable)
- eRwin Data Modeller (desirable)
Skills and Competencies:
- Experience in implementing dimensional models (Kimball / star schema ideally)
- Hands-on experience in building Synapse/Databricks or similar, based DWH as per medallion architecture.
- Experience in developing ETL/ELT processes using Azure Data Factory or similar
- Hands-on experience in Spark (PySpark, spark SQL)
- Experience in using Erwin or similar data modelling technologies – nice to have
- Experience of working in a regulated industry - nice to have
Senior Azure Data Engineer in Swindon employer: The Openwork Partnership
Openwork is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary, generous bonus scheme, and a robust pension plan. With a collaborative work culture that encourages innovation and continuous learning, employees are supported in their development through mentorship opportunities and access to cutting-edge technologies in a dynamic environment. Located in a thriving sector, Openwork provides a meaningful career path for those passionate about data engineering and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects and data solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially with Azure tools like Data Factory and Synapse.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Senior Azure Data Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your Azure Data Engineering experience and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific technologies like Azure Data Factory and Synapse that you've worked with.
Showcase Your Projects:If you've got hands-on experience with data solutions, don't hold back! Include links or descriptions of projects where you've implemented dimensional models or built data warehouses. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at The Openwork Partnership
✨Know Your Azure Stuff
Make sure you brush up on your Azure Data Engineering skills. Be ready to discuss your hands-on experience with Azure Data Factory, Azure Data Lake, and Azure Synapse. Prepare examples of how you've used these tools to solve real business challenges.
✨Showcase Your Leadership Skills
As a Senior Azure Data Engineer, you'll be guiding junior colleagues. Think of specific instances where you've mentored others or led a project. Highlight your ability to translate complex technical concepts into understandable terms for non-technical stakeholders.
✨Understand the Business Side
Familiarise yourself with the financial services industry and how data solutions can drive business value. Be prepared to discuss how you've aligned data engineering projects with business goals in the past, especially in a regulated environment.
✨Stay Current with Trends
The tech world is always evolving, so show that you're on top of the latest trends in data technologies and governance. Bring up any recent developments or tools you've explored that could benefit the company’s data platform.
