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, wellness programmes, global opportunities, and inclusive onboarding.
- Other info: Be part of a diverse team committed to inclusion and professional growth.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: 3-5 years in data engineering, experience with cloud data warehouses, and LLM coding skills.
The predicted salary is between 60000 - 75000 £ 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 ensure everyone has access to accurate, timely, and complete data within the constraints of their role. The data team owns 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: jobr.pro
Marcura is an exceptional employer that champions innovation and inclusivity within its AI-first data engineering team. With a strong focus on employee well-being, competitive salaries, and global opportunities for growth, we foster a diverse and supportive work culture where your contributions truly matter. Join us in making a significant impact across finance, commercial, and engineering sectors while enjoying a fulfilling work-life balance.
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 the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or relevant work, make sure to highlight it during interviews. Bring examples of your data pipelines or models to discuss how you’ve tackled challenges in the past.
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of cloud data warehouses and dbt models. Be ready to explain your thought process and how you’ve used LLMs in your work. Confidence in your expertise will shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Marcura team!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with data pipelines, dbt models, and any relevant cloud data warehouse work. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI-first data engineering and how you can make an impact at Marcura. Be sure to mention specific projects or experiences that showcase your expertise.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Include details about the tools and technologies you've used, especially around LLMs and data modelling. We love seeing candidates who can demonstrate their hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at jobr.pro
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, like dbt and cloud data warehouses such as BigQuery or Snowflake. Brush up on your experience with these technologies and be ready to discuss specific projects where you’ve used them.
✨Showcase Your End-to-End Pipeline Experience
Prepare to talk about your experience owning data pipelines from start to finish. Think of examples where you’ve transformed raw data into useful datasets for stakeholders, and be ready to explain how you collaborated with non-technical teams to deliver results.
✨Demonstrate Your AI Knowledge
Since Marcura is an AI-first organisation, highlight your recent experiences using LLMs to write code. Be prepared to discuss how you direct AI agents effectively and what tasks require your judgement, showcasing your ability to leverage AI in data engineering.
✨Cultural Fit Matters
Marcura values inclusion and a supportive work culture, so be yourself! Share your thoughts on diversity and how you contribute to a positive team environment. This will show that you align with their values and are eager to be part of their community.
