At a Glance
- Tasks: Own and develop data pipelines and core models to drive impactful solutions.
- Company: Join Marcura, an AI-first data engineering organisation with a collaborative culture.
- Benefits: Competitive salary, bonuses, wellness support, and global opportunities.
- Other info: Inclusive onboarding and a diverse, supportive work culture await you.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge AI technologies.
- Qualifications: 3-5 years in data engineering, experience with cloud data warehouses, and LLMs.
The predicted salary is between 60000 - 80000 £ per year.
Marcura's data team is an AI-first data engineering organisation with significant ownership and opportunity to drive impact across the organisation and for our customers. We work across finance, commercial, and engineering to make sure everyone has access to accurate, timely and complete data within the constraints of their role. The data team own the data pipelines, modelling and warehousing required to support our stakeholders in the tools they use, be it AI models, dashboards, spreadsheets, or CRM tools.
We are looking for a data engineer to own and develop the data pipelines and core data models for Marcura. If you're passionate about working as an AI-first data engineer and are eager to create solutions with significant impact, we'd love to hear from you.
Requirements- 3 to 5 years experience in a hands-on data engineering or analytics engineering role, ideally in a B2B SaaS or B2B data product environment.
- Demonstrated experience shipping production dbt models on a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar).
- Track record of owning data pipelines end-to-end — from source ingestion through transformations to BI/consumption layer — and partnering directly with non-technical stakeholders to deliver useful datasets.
- You have spent the past six months using LLMs to write code and know how to direct an AI agent to get work done efficiently, and what work requires your judgement.
- Competitive Salary and Bonus: We reward your expertise and contributions.
- Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.
- Marcura Wellness Zone: We value your work-life balance and well-being.
- Global Opportunities: Be part of an ambitious, expanding company with a local touch.
- Diverse, Supportive Work Culture: We’re committed to inclusion, diversity, and a sense of belonging for all team members.
Senior Data Engineer employer: Marcura
Marcura is an exceptional employer that champions a diverse and inclusive work culture, offering a supportive environment where every team member can thrive. With a focus on employee well-being through initiatives like the Marcura Wellness Zone, we provide competitive salaries and bonuses, alongside global opportunities for professional growth. Join us in our AI-first data engineering organisation, where your contributions will have a meaningful impact across finance, commercial, and engineering sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Marcura on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the data team.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your past projects, especially those involving data pipelines and cloud data warehouses. This will give you a solid edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready to tackle coding challenges or case studies related to data engineering. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Marcura.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on experience with data pipelines and any relevant projects you've worked on, especially in a B2B SaaS environment.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our AI-first approach. Share specific examples of how you've partnered with non-technical stakeholders to deliver impactful datasets.
Showcase Your Technical Skills:Don’t forget to mention your experience with cloud data warehouses like BigQuery or Snowflake. If you've shipped production dbt models, make sure to include that too! We want to see your technical prowess shine through.
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 the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Marcura
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to Marcura. Brush up on your experience with cloud data warehouses like BigQuery or Snowflake, and be ready to discuss specific projects where you've owned data pipelines from start to finish.
✨Showcase Your AI Skills
Since Marcura is an AI-first organisation, highlight your recent experiences using LLMs to write code. Be prepared to explain how you’ve directed AI agents to enhance your work and what tasks require your personal judgement.
✨Communicate with Non-Technical Stakeholders
Demonstrate your ability to partner with non-technical stakeholders. Prepare examples of how you’ve translated complex data concepts into actionable insights for teams that may not have a technical background.
✨Prepare Questions About Their Data Culture
Show your interest in Marcura by preparing thoughtful questions about their data culture and how they leverage data across finance, commercial, and engineering. This will not only demonstrate your enthusiasm but also help you gauge if it’s the right fit for you.
