At a Glance
- Tasks: Design and maintain reliable data solutions while leading a squad of engineers.
- Company: Join a forward-thinking company committed to diversity and teamwork.
- Benefits: Enjoy discounts, competitive holidays, bonuses, and extensive wellbeing support.
- Other info: Access tailored training programmes and a supportive work environment.
- Why this job: Make an impact with cutting-edge cloud technologies and lead innovative data projects.
- Qualifications: Proven leadership skills and expertise in cloud data technologies like Azure.
The predicted salary is between 55000 - 65000 £ per year.
Responsibilities
- Design, build and maintain high-quality, reliable data solutions and own the work with a strong focus on automation in the cloud.
- Provide technical leadership to a small squad of engineers.
- Own complex tasks in the backlog and deliver them routinely with no significant issues.
- Lead the development of M&S standard data frameworks and policies, ensuring they are understood and adopted.
- Support other data engineers to produce clean, quality code through code reviews and pair programming.
- Design, develop, and maintain scalable data pipelines that adhere to ETL principles and business goals.
Qualifications
- Demonstrable leadership mentality, business acuity, and big-picture approach.
- Expertise in cloud-based data technologies and data warehousing design principles, preferably Azure.
- Expertise in end-to-end data solution design and build.
- Demonstrable experience with ETL tools, e.g., Databricks, SQL.
- Demonstrable experience with Python, SQL, and Spark.
Benefits
- After completing your probationary period, you’ll receive a 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days.
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous defined contribution pension scheme and life assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Ample perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry-leading parental, adoption, and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues, including access to our 24/7 virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you’re passionate about through a dedicated day away from work.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please let us know when completing your application.
Staff Data Engineer employer: Marks and Spencer plc (UK)
As a Staff Data Engineer at M&S, you will thrive in a dynamic work culture that prioritises innovation and collaboration, with ample opportunities for professional growth through tailored training programmes. Enjoy a competitive benefits package, including a generous pension scheme, flexible parental policies, and a commitment to your wellbeing, all while contributing to a diverse team dedicated to excellence in data solutions.
Contact Details:
Marks and Spencer plc (UK) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer
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We think you need these skills to ace Staff Data Engineer
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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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