Skip to content

Senior Data Engineer

Hybrid
  • Amsterdam, Noord-Holland, Netherlands
  • Aix-en-Provence, Provence-Alpes-Côte-d’Azur, France
  • Berlin, Berlin, Germany
  • London, England, United Kingdom
+3 more
Technology

Hi from the Instapro Group 👋🏼

We're the technology company behind a home services revolution. Our mission is to help tradespeople get the work they want and homeowners hire the tradespeople they need.

At Instapro, every team member’s perspective and experience advances our mission. We are committed to creating a workplace that reflects the communities we serve. We work hard to mitigate biases in our recruitment process and foster a welcoming and inclusive environment.

Job description

Open in all locations: France, Germany, the Netherlands, and the United Kingdom

Instapro Group is actively seeking a seasoned and proactive Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a crucial role in designing, constructing, and maintaining our data platform, data models, analytics tools and data infrastructure. Your responsibilities will include developing and optimizing data pipelines, providing technical guidance, and driving innovation in our data processes.


Your role includes the following: 

  • Collaborate with cross-functional teams, including Product Analysts, Data Scientists, and Product Managers, to understand and address their intricate data needs, translating them into scalable and efficient data solutions.

  • Architect, develop, and implement cutting-edge data pipelines and ELT workflows using technologies such as Stitch or Fivetran, AWS Redshift, Airflow, and DBT to facilitate streamlined data processing and analysis.

  • Create and maintain robust data models and transformations through DBT, ensuring data integrity, coherence, and quality for downstream analysis.

  • Implement and manage event tracking systems to capture user interactions and system events, enabling real-time data analysis and insights.

  • Design and maintain stream processing solutions using technologies such as Apache Kafka, AWS Kinesis, or Apache Spark to handle real-time to near real-time data flows and processing.

  • Optimize data processes for enhanced performance, scalability, and cost efficiency, ensuring rapid and reliable access to critical data.

  • Work closely with Product Managers to integrate data requirements into the overall data platform design, aligning with the product roadmap.

  • Provide comprehensive support to Product Analysts and Data Scientists by delivering clean and organized datasets for their modeling and analysis needs.

  • Monitor and resolve data pipeline anomalies, swiftly identifying and addressing issues to minimize disruptions to data accessibility.

  • Stay updated on industry trends and emerging technologies in data engineering, proactively recommending enhancements to our data platform.

  • Drive innovation in data engineering practices, identifying opportunities for improvement, and implementing new technologies and methodologies to enhance the data platform.

  • Conduct code reviews and pair programming sessions to ensure high-quality code, knowledge sharing, and adherence to best practices within the team.


Job requirements

  • Bachelor's degree in Computer Science, Data Engineering, or a related field.

  • 5+ years of hands-on experience in data engineering, with a strong focus on AWS Redshift, Airflow, DBT, Python, and SQL.

  • Solid understanding of data engineering principles, ELT processes, and data modeling techniques.

  • Proven experience in creating and optimizing data pipelines for large-scale data processing and transformation.

  • Proficiency in Python and SQL scripting and programming, with familiarity with Gitlab or similar version control systems.

  • Strong problem-solving skills and ability to troubleshoot and resolve data-related issues.

  • Excellent communication and collaboration skills, with the ability to work effectively within a team and with stakeholders.

  • Experience in providing technical leadership, including setting technical standards and mentoring team members.

  • Familiarity with event tracking systems and stream processing technologies such as Apache Kafka, AWS Kinesis, or Apache Spark.


Preferred Qualifications:

  • Hands-on experience with cloud-based environments such as AWS, Azure, or Google Cloud Platform.

  • Proficiency in data architecture and data modeling principles and best practices.

  • Solid Understanding of data platforms, machine learning platforms and analytics tools.

  • Experience with data infrastructure and infrastructure-as-code tools like Terraform, ensuring scalable and maintainable data environments.

  • Experience in implementing and managing CI/CD pipelines using Gitlab, ensuring efficient and reliable deployment of data engineering solutions.

If you are a driven and passionate Senior Data Engineer with a robust background in AWS Redshift, Airflow, DBT, and Python, and possess a proven track record of collaborating with cross-functional teams to deliver impactful data solutions, we eagerly await your application. Join our team and contribute significantly to the evolution of our resilient and scalable data platform.


Why you’ll enjoy working at the Instapro Group

You can make an Impact. Joining Instapro Group is an opportunity to help crack the code in one of the last big industries to become digital-first. We’re leaders in our markets, yet small enough for everyone to make a real difference.
We care. We don’t believe in one size fits all. Whether it’s flexibility in your working hours, your location, or opportunities to advance and grow, you’ll find a supportive and open culture designed to help our team members thrive.

These are the benefits you'll enjoy:

  • Highly competitive salary package

  • Hybrid work environment

  • Hybrid allowance/benefit

  • Eligibility to receive an equity award

  • Temporary work from abroad policy

  • Mental health support

  • Regular team and social events

  • Further benefits depending on location


These are the values that guide everything we do:

  • We put integrity first. We are authentic, transparent and respectful.
  • We are all stewards. We are stewards of the company on behalf of all stakeholders.
  • We follow the evidence. We are objective, evidence-based and pragmatic in our decision-making.
  • We never stop learning. We are open-minded and curious.
  • We win together. We collaborate and earn trust with our colleagues.
  • We are inclusive. We are committed to building a diverse and inclusive company.

Read our values in full here

Interested in applying? Submit your application below and we will get back to you.

or

Apply with Linkedin unavailable
Apply with Indeed unavailable

Good to know...

What is our working model?

You need to based in one of our office locations or be willing to relocate to one of them.

We have a hybrid-work model, which means that it’s up to you whether you prefer to work onsite or feel more comfortable working from home. However, in some roles, we might be looking for people to come to the office more regularly. You can have a look at what locations we are active in via the button below.

How should you prepare for an interview?

Please go through the job description once again and be ready to ask your questions to help yourself better understand if our environment matches your expectations.

You can visit Instapro Group's other web spaces, such as our LinkedIn page, to get a feel for our vibe.

What does an interviewing process generally look like?

Our interviewing processes can differ slightly depending on the department. The three steps that are consistent for every vacancy are a talk with the hiring manager at the beginning, a team interview in the middle, and an elevator interview at a later phase of the process. The best way to prepare for an elevator interview is to go over our values.