At a Glance
- Tasks: Join our Data Platform team as a Senior Azure Data Engineer and shape the future of data.
- Company: Greggs, a leading brand with a collaborative and innovative culture.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and a profit-sharing scheme.
- Other info: Flexible work-life balance and excellent career progression opportunities.
- Why this job: Make a real impact by developing data solutions that drive growth and innovation.
- Qualifications: Advanced knowledge of Azure services and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
We have a fantastic opportunity to join the growing Data Platform team at Greggs as a Senior Azure Data Engineer. You will be part of the team responsible for ensuring high quality data is sourced and curated in our Azure cloud platform and to ensure that this is a foundation for growth for all data, analytic and AI services. Your involvement will span the entire data lifecycle: from orchestrating data ingestion into our Azure Data Lake, designing and developing sophisticated data models for analytics, to deploying Azure Logic Apps and Function Apps for process automation.
With tools like Databricks, Data Factory, Azure SQL Server, and Python you will help formulate a data driven platform and develop data pipelines that convert raw data into actionable insights in line with our strategy. A logical mind and appetite for problem solving is key to this role. As a senior engineer you will help to mentor your colleagues, providing technical guidance and oversight, championing efficient ways of working, and collaborating closely with stakeholders to prioritise activity. A knowledge and enthusiasm for machine learning and how that could enhance the data offering at Greggs would be very advantageous.
This is a full time permanent role. We know that having a work-life balance is important, so we offer our colleagues as much flexibility as possible in line with the needs of their role. The base location for this role is Newcastle Upon Tyne.
Key Responsibilities:
- Guide and support your team members, encouraging and supporting a collaborative and productive work environment.
- Develop and implement data ingestion solutions on the Azure platform, ensuring scalability, reliability, and performance.
- Leverage technologies such as Azure Data Factory, Databricks, Delta Lake, and Python.
- Design and maintain robust ETL/ELT processes to integrate data from various sources into Azure data services.
- Help to implement DataOps practices to streamline and automate the data lifecycle, ensuring faster delivery and higher quality of data products.
- Design and manage CI/CD pipelines for data workflows to facilitate automated testing and deployment.
- Ensure data quality, security, and compliance with industry standards and best practices.
- Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and address their data needs.
- Stay current with emerging trends and technologies in the Azure ecosystem, other technologies/methods, and data engineering, helping to drive continuous improvement within the team.
You will fit right into this role if you:
- Can demonstrate advanced knowledge of cloud services, preferably focussing on Databricks; ideally working with Azure Data Lake, Azure Data Factory, Azure Logic Apps, Azure Function Apps and Fabric, alongside a skillset incorporating data modelling techniques and business data requirement comprehension, documentation and communication.
- Are able to work efficiently in a dynamic environment, with a focus on detail and accuracy and have a keenness to problem solve.
- Hold a steadfast commitment to data security and ability to guide others in this area.
- Are keen to understand the commercial drivers of the business and can build data solutions to drive growth.
Benefits:
- 25 days (5 weeks) annual leave, pro-rated, increasing with service (in addition to bank holidays), plus 1 additional floating day.
- Management Bonus Scheme which is worth up to 12.5% of your salary.
- Profit share: We want everyone to share in the success of the business, so we distribute 10% of our profits to all our employees who have at least 6-month service, or more, each year.
- Private Medical Insurance which is free for you and subsidised for your dependants.
- Permanent Health Insurance which is a replacement income scheme.
- You will automatically join our Greggs pension scheme which is a fantastic way to save for your retirement and allows you to benefit from employer contributions and tax advantages.
- Defined contribution management pension scheme.
- Death in service benefit which provides a lump-sum payment equal to 4 times your year's salary.
- Colleague discount, up to 50% off our own-produced products.
- Share save schemes that let you buy discounted Greggs shares, by saving a set amount of money over a fixed time, to have an even bigger share of our profits.
- Career progression and learning and development.
- Employee Assistance Programme; A free, confidential helpline, offering advice and support with financial, relationship, work-related and wellbeing issues, 24 hours a day, 365 days a year.
- Perks and savings, such as digital gift card discounts, online cashback, in-store and online coupons and lifestyle offers.
Azure Data Engineer in Newcastle upon Tyne employer: Greggs
At Greggs, we pride ourselves on fostering a vibrant and inclusive work culture that champions innovation and collaboration. As the Head of Data & AI, you will not only lead transformative initiatives but also benefit from a comprehensive management bonus scheme, generous annual leave, and extensive career development opportunities, all while being part of a company that values community and sustainability. Located in Newcastle Upon Tyne, you'll enjoy a supportive environment that prioritises work-life balance and employee wellbeing, making Greggs an exceptional place to grow your career.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in Newcastle upon Tyne
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We think you need these skills to ace Azure Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Greggs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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