Data Engineer in London

Data Engineer in London

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to build scalable data structures and ensure data quality.
  • Company: Marcura, a global leader in maritime technology and operations.
  • Benefits: Competitive salary, wellness programs, and inclusive onboarding experience.
  • Why this job: Make an impact in the maritime industry with innovative data solutions.
  • Qualifications: Experience in Data Vault 2.0, GCP, and modern data transformation tools.
  • Other info: Fully remote work with a diverse and supportive culture.

The predicted salary is between 28800 - 48000 £ per year.

About Marcura: Marcura is a global leader in maritime technology and operations, supporting nearly one‑third of the world’s seaborne commodity trade. Our trusted platforms which span software, data intelligence and payments sit at the centre of digital transformation across the maritime industry. We are now seeking a Data Engineer to join our high‑impact team and contribute to the success of one of the sector’s most forward‑looking organisations.

About the Role: To bring domain expertise in data engineering to the team, including the ETL process using modern tools and methodologies. You will play a key role in building scalable data structures, with a specific focus on implementing Data Vault 2.0 to ensure a flexible and auditable data foundation.

Roles and Responsibilities:

  • Data engineering best practices: You will contribute to the data team's ability to adhere to data engineering best practices across pipeline design, data quality monitoring, storage, versioning, security, testing, documentation, cost, and error handling.
  • Data transformation in DBT: Ensure that the daily DBT build is successful, including full test coverage of existing models. Create new data models in collaboration with the data analysts, utilising Data Vault 2.0 principles where appropriate to handle complex data relationships and historical tracking. Add new tests to enhance data quality and maintain the integrity of the data warehouse. Incorporate new data sources into the warehouse architecture.
  • Data extraction: Develop and maintain our data pipelines in Stitch, Fivetran, Segment, and Apache Airflow (Google Cloud Composer). Evaluate when it's appropriate to use managed tools versus building custom data pipelines in Cloud Composer. Ensure that data extraction jobs run successfully daily. Collaborate with engineers from MarTrust to add new data sets to our data extraction jobs.
  • Data warehousing in BigQuery: Ensure that the data in our data warehouse is kept secure and that daily jobs in BigQuery run successfully. Support the evolution of our BigQuery schema to accommodate Data Vault 2.0 structures (Hubs, Links, and Satellites) for long-term scalability.
  • Data Governance and Security: Implement and monitor automated data quality checks and observability to ensure the accuracy and reliability of downstream reporting. Manage and enforce granular access control policies (IAM) within BigQuery and GCP to ensure data is only accessible to authorised users. Ensure all data processes comply with security standards and data privacy regulations, maintaining clear documentation of lineage and metadata.

Requirements:

  • Data Modeling: Solid understanding and hands-on experience with Data Vault 2.0 methodologies.
  • GCP Infrastructure: Experience with Google BigQuery and Cloud Composer (Apache Airflow).
  • Modern Data Stack: Proficiency in DBT for data transformation and data quality testing.
  • Governance & Security: Practical experience managing data access controls, security best practices, and DQ frameworks.
  • Pipeline Tools: Experience with managed ELT services like Fivetran, Stitch, or Segment.
  • Remote Work: Ability to work effectively in a fully remote, distributed team environment.

Benefits:

  • 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.

Data Engineer in London employer: Marcura

At Marcura, we pride ourselves on being a global leader in maritime technology, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Data Engineer, you will not only contribute to cutting-edge projects but also benefit from competitive salaries, a strong focus on wellness, and ample opportunities for professional growth within a diverse team that values your unique contributions. Join us in shaping the future of the maritime industry while enjoying the flexibility of a fully remote role.
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Contact Detail:

Marcura Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Marcura on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio showcasing your data engineering expertise, especially with Data Vault 2.0 and GCP tools. This will help you stand out during interviews.

✨Tip Number 3

Be ready for technical challenges! Brush up on your ETL processes and data transformation techniques using DBT. Expect to discuss real-world scenarios where you've tackled data quality issues.

✨Tip Number 4

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 our team at Marcura.

We think you need these skills to ace Data Engineer in London

Data Engineering Best Practices
ETL Process
Data Vault 2.0
DBT
Data Quality Monitoring
Data Pipeline Development
Stitch
Fivetran
Segment
Apache Airflow
Google BigQuery
Data Governance
Access Control (IAM)
Data Modeling
GCP Infrastructure

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Data Vault 2.0, GCP, and any relevant tools like DBT or Apache Airflow. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team at Marcura. Be sure to mention specific projects or experiences that relate to the job description.

Showcase Your Projects: If you've worked on any cool data projects, don’t hesitate to showcase them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!

How to prepare for a job interview at Marcura

✨Know Your Data Engineering Basics

Make sure you brush up on your data engineering best practices, especially around ETL processes and Data Vault 2.0 methodologies. Be ready to discuss how you've implemented these in past projects, as this will show your practical knowledge and expertise.

✨Familiarise Yourself with Tools

Get comfortable with the tools mentioned in the job description, like DBT, BigQuery, and Apache Airflow. If you can, try to work on a small project using these tools before your interview. This hands-on experience will give you confidence and help you answer technical questions more effectively.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills in data extraction and transformation. Think of examples where you've had to troubleshoot data quality issues or optimise data pipelines, and be ready to explain your thought process.

✨Show Your Collaborative Spirit

Since the role involves working closely with data analysts and engineers, be prepared to discuss how you’ve collaborated in the past. Highlight any experiences where teamwork led to successful outcomes, especially in remote settings, as this aligns with their fully remote work culture.

Data Engineer in London
Marcura
Location: London

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