At a Glance
- Tasks: Lead the design and delivery of innovative cloud analytics solutions in Azure.
- Company: Join a dynamic and ambitious team at The Openwork Partnership.
- Benefits: Competitive salary, bonus scheme, pension matching, and flexible benefits.
- Other info: Inclusive culture that values individuality and promotes personal growth.
- Why this job: Make a real impact in a fast-paced environment while developing your skills.
- Qualifications: Experience in Azure Data Engineering and data solution delivery.
The predicted salary is between 60000 - 80000 € per year.
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
Why us?
We're a dynamic, fast paced, and growing business with huge ambition. This is all made possible by the brilliant people who are part of The Openwork Partnership family. We're investing heavily in our colleagues, continuously striving to give them the platform to develop personally and professionally and reach their full potential. We’re also very proud of our culture, as one of the Best 100 Large Companies to work for in 2022. The Openwork Partnership values, and respects individuality and we are committed to building an inclusive culture and environment which truly recognises and celebrates our colleague’s individual differences and identities – just like our financial advice, for us, it’s personal. We believe everyone can make a difference and your race, religion, disability, and gender will never be a barrier. At Openwork, we have a strong ethic of care for each other where you can balance a successful career with your commitments and interests outside of work. We believe that you will bring your best self to work if you are trusted to choose when, where and how you do it.
Senior Azure Data Engineer in Swindon employer: Openwork
Openwork is an exceptional employer that prioritises the growth and well-being of its employees, offering a dynamic work environment where innovation thrives. With a strong commitment to inclusivity and personal development, employees benefit from competitive salaries, generous holiday allowances, and a comprehensive benefits package, all while being part of a company recognised as one of the Best 100 Large Companies to work for in 2022. The culture at Openwork fosters collaboration and respect for individuality, ensuring that every team member can contribute meaningfully to our ambitious goals.
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 or even referrals.
✨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 Data Factory and Synapse.
✨Tip Number 4
Don't forget to apply through our website! It’s 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 Senior Azure Data Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your Azure Data Engineering expertise and any relevant projects you've worked on that align with what we're looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Senior Azure Data Engineer role. Share your passion for data engineering and how your experience can help us deliver top-notch cloud analytics solutions.
Showcase Your Technical Skills:Don’t shy away from detailing your hands-on experience with Azure tools like Data Factory, Synapse, and Databricks. We want to see how you’ve applied these technologies in real-world scenarios to solve business challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Openwork
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Engineering skills, especially Azure Data Factory, Azure Data Lake, and Azure Synapse. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience and technical leadership.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled critical business challenges with data-led solutions. Think about the data migration or reporting issues you've resolved and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Familiarise yourself with the financial services industry and how data solutions can drive business value. This will help you translate business requirements into technical solutions during the interview, demonstrating your ability to bridge the gap between tech and business.
✨Be Ready to Lead
As a senior role, you'll need to guide junior colleagues. Prepare to discuss your mentoring experiences and how you've supported others in developing their data engineering skills. Highlight your approach to fostering a collaborative team environment.
