Data engineer | NL/UK/CZ
Data engineer | NL/UK/CZ

Data engineer | NL/UK/CZ

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join us as a Data Engineer to build and deploy innovative data platforms.
  • Company: ScanmarQED is a global leader in marketing tech, empowering businesses with smart decisions.
  • Benefits: Enjoy flexible remote work, ongoing training, and a competitive salary.
  • Why this job: Be part of a dynamic team shaping the future of marketing analytics with cutting-edge technology.
  • Qualifications: Bachelor's degree or equivalent experience; 3-5 years in Data Engineering or related fields.
  • Other info: Work from our offices in NL, UK, or CZ, with a supportive international team.

The predicted salary is between 36000 - 60000 £ per year.

ScanmarQED is a global leader in marketing technology and analytical consultancy, dedicated to empowering businesses with better marketing decisions. If you’re passionate about building cutting-edge data platforms and shaping the future of marketing analytics, we’d love to hear from you.

We’re a dynamic, tight-knit team that values each member’s contributions. We focus on fostering a supportive environment where everyone’s expertise is recognized and utilized.

The opportunity:

We’re looking for an enthusiastic and skilled Data Engineer to join our dynamic team. In this role, you will be a key player in the deployment of the new ScanmarQED cloud-based data platform. You’ll work closely with our talented, international team to design scalable applications, explore and test innovative ideas, and share your expertise to create impactful solutions.

This role focuses on integrating diverse marketing data sources, preparing them for analysis, and enabling real-time analytics. You’ll also contribute to translating client needs into scalable, maintainable applications that push the boundaries of marketing technology.

You’ll report directly to the Director of Data Engineering and will be working in one of our offices in NL (Houten) CZ (Prague) or UK (London) with a flexibility in combining remote work with in-office days. If you thrive on solving complex problems, leveraging the latest technologies, and enabling business growth through smart, scalable solutions, we invite you to be part of our team!

Skills and Qualifications:

Educational Background: Bachelor-level expertise demonstrated through formal education or equivalent professional experience.

Professional Experience: 3–5 years in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment.

Data Infrastructure and Engineering Foundations:

  • Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server.
  • ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt, Dagster.
  • Cloud providers: Proficiency in Microsoft Azure or AWS.

Programming and Scripting:

  • Programming Languages: Strong skills in Python and SQL.

Data Modeling and Query Optimization:

  • Data Modeling: Designing star/snowflake schemas and understanding normalization and denormalization.
  • SQL Expertise: Writing efficient queries and optimizing for performance.

DevOps and CI/CD:

  • Version Control: Using Git and platforms like GitHub, GitLab, or Bitbucket.

Data Governance and Security:

  • Data Quality: Ensuring accuracy, completeness, and consistency applying validation (e.g. Soda).

Analytics and Visualization:

  • Analytics Tools: Basic knowledge of tools like Tableau, Power BI, or Looker.

Soft Skills

  • Collaboration: Working with data scientists, business stakeholders, and product owners.
  • Problem-Solving: Able to identify and address inefficiencies in pipelines or infrastructure.
  • Documentation: Writing clear and comprehensive documentation.
  • Language: Strong command of English.

We offer:

  • The chance to contribute to the development of a high scale, innovative, complex data platform.
  • Working in a fast-paced and performance-driven culture.
  • Ongoing training opportunities.
  • A salary matching your experience, knowledge, and skills.
  • A friendly, professional, and international team environment.
  • Flexibility to combine remote work with in-office days.

Ready to push the boundaries of what’s possible in data-driven marketing? Apply now to join our dynamic team at Roivenue, a ScanmarQED company, and help us build the next generation of analytics solutions!

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Data engineer | NL/UK/CZ employer: ScanmarQED

At ScanmarQED, we pride ourselves on being a global leader in marketing technology, offering a vibrant work culture that values innovation and collaboration. As a Data Engineer, you'll enjoy the flexibility of remote work combined with the opportunity to engage with a talented international team in our offices in Houten, Prague, or London. We are committed to your professional growth, providing ongoing training and a supportive environment where your contributions truly matter.
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Contact Detail:

ScanmarQED Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data engineer | NL/UK/CZ

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, DataBricks, and Apache Airflow. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.

✨Tip Number 2

Network with current employees or alumni who work at ScanmarQED or similar companies. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.

✨Tip Number 3

Prepare to discuss real-world examples of how you've solved complex data engineering problems in previous roles. Highlighting your problem-solving skills and ability to work collaboratively with teams will resonate well with the hiring managers.

✨Tip Number 4

Stay updated on the latest trends in data engineering and marketing analytics. Being able to discuss recent advancements or innovations in the field during your interview can demonstrate your passion and commitment to the role.

We think you need these skills to ace Data engineer | NL/UK/CZ

Data Engineering
Data Warehousing
ETL/ELT Development
Cloud Computing (Microsoft Azure or AWS)
Python Programming
SQL Proficiency
Data Modelling (Star/Snowflake Schemas)
Query Optimization
Version Control (Git, GitHub, GitLab, Bitbucket)
Data Quality Assurance
Analytics Tools (Tableau, Power BI, Looker)
Collaboration Skills
Problem-Solving Skills
Documentation Skills
Strong Command of English

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in Data Engineering, particularly with tools like Snowflake, DataBricks, and programming languages such as Python and SQL. Emphasise any projects that showcase your ability to build scalable applications.

Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data engineering and marketing technology. Mention specific experiences that align with the job description, such as your work with ETL/ELT development or cloud providers like Azure or AWS.

Showcase Problem-Solving Skills: In your application, provide examples of how you've solved complex problems in previous roles. Highlight your ability to identify inefficiencies in data pipelines and how you addressed them, as this is crucial for the role.

Highlight Collaboration Experience: Since the role involves working closely with data scientists and business stakeholders, include examples of successful collaborations in your application. This will demonstrate your ability to work effectively in a team-oriented environment.

How to prepare for a job interview at ScanmarQED

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data warehousing tools like Snowflake and DataBricks. Highlight specific projects where you built ETL pipelines using Apache Airflow or dbt, as this will demonstrate your hands-on expertise.

✨Demonstrate Problem-Solving Abilities

Expect questions that assess your problem-solving skills. Prepare examples of how you've identified inefficiencies in data pipelines and the steps you took to resolve them. This will show your analytical thinking and ability to improve processes.

✨Emphasise Collaboration Experience

Since the role involves working closely with data scientists and business stakeholders, share examples of successful collaborations. Discuss how you communicated technical concepts to non-technical team members, showcasing your teamwork and communication skills.

✨Prepare for Scenario-Based Questions

Anticipate scenario-based questions related to data modelling and query optimisation. Be ready to explain your thought process when designing star/snowflake schemas or writing efficient SQL queries, as this will highlight your practical knowledge.

Data engineer | NL/UK/CZ
ScanmarQED
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