At a Glance
- Tasks: Design and implement data pipelines while ensuring system quality and providing mentorship.
- Company: Join a forward-thinking team in London focused on enterprise data solutions.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on Agile methodologies.
- Why this job: Be at the forefront of data innovation and make a significant impact.
- Qualifications: Experience with Snowflake, MS SQLServer, and strong data engineering skills required.
The predicted salary is between 60000 - 80000 € per year.
We are looking for a Senior Data Engineer to join our new team in London to support the definition and delivery of an enterprise data platform. In this role, you will help the divisional data team (DDT) manage and prioritize data engineering activities, building high-performing pipelines and data warehouses.
- Pipeline Delivery: Design, implement, test, and support data-intensive pipelines.
- System Quality: Ensure IT Controls are met and provide technical support/mentorship.
- Core Tech Stack: Strong experience with Snowflake, MS SQLServer, DBT, and Azure DevOps (or similar CI/CD).
- Data Expertise: Solid understanding of data modeling, curation, orchestration, and ETL tools (e.g., experience with shell scripting, unit testing, and test-driven development (TDD). Excellent collaboration, communication, and Agile project skills.
- BI Tools: PowerBI or Tableau.
- Databases/ERP: NoSQL (DynamoDB/Cosmos) or SAP.
Senior Engineer, Data Engineering employer: Randstad Digital
Join a forward-thinking company in London that values innovation and excellence, offering a dynamic work culture where collaboration thrives. As a Senior Data Engineer, you will benefit from a hybrid working model, competitive pay, and opportunities for professional growth within a supportive team environment. With access to cutting-edge technology and a commitment to employee development, this role promises a rewarding career path in the heart of one of the world's most vibrant cities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Snowflake, MS SQLServer, or any of the tools mentioned in the job description. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines, ETL processes, and Agile methodologies. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you’re genuinely interested in joining our team. Let’s get you that Senior Data Engineer role!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Snowflake, MS SQLServer, and any relevant projects that showcase your skills in building data pipelines and warehouses.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience with Agile methodologies!
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially with ETL tools and CI/CD processes. We love seeing candidates who can demonstrate their knowledge of data modelling and orchestration.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Randstad Digital
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Snowflake, MS SQLServer, DBT, and Azure DevOps. 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.
✨Showcase Your Data Expertise
Prepare to talk about your experience with data modeling, curation, and ETL tools. Have specific examples ready that demonstrate your understanding of these concepts, especially in relation to shell scripting and test-driven development.
✨Emphasise Collaboration Skills
Since this role requires excellent collaboration and communication skills, think of instances where you've worked effectively in a team. Be ready to share how you’ve contributed to Agile projects and how you handle feedback and mentorship.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly around pipeline delivery and system quality. Practice articulating your thought process when tackling complex data engineering challenges, as this will showcase your analytical skills.
