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Mid/Senior Database Engineer


1 reason to join us:

  • Because our unique blend of growth driven seniors say we excel in professional attitude and working approach while caring for people as individuals.

2 reasons you would fit in:

  • You want to grow in a culture that encourages your talent and creativity by mixing client projects with our own products and components.
  • You appreciate fast decision making in a relaxed and casual working atmosphere.

3 reasons why you will enjoy being our colleague:

  • We are flexible and open in both mindset and attitude, from new programming languages to a new working approach with flexible work-place and working hours.
  • We are using cool technologies and we keep a constant eye on the latest trends, but also playing around with bleeding-edge high-tech.
  • A good atmosphere and the possibility to contribute to the growth and creation of a fresh new culture.

4 skills and competencies we highly value:

  • You have at least 4 years of solid applied knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes and testing.
  • You are used to being a sparring partner for the client in taking technological and design decisions.
  • You understand the importance of code efficiency, enabling quality by code eviewing, unit and integration testing.
  • You are proactive and results-oriented with a strong passion for technology.

5 if you are still reading, here are some more details on tech and projects:

  • Our client has a platform that provides a unique employee experience, enriching the personal and working life of employees. It offers a suite of products including access to best in class Benefits, Medical, Recognition and Insights.
  • You will be in the Data Tribe, part of the Product and Engineering department. Your role will be to devise, communicate and maintain the data strategy for the organisation by directly working with those conducting data analysis and science across the organisation to formulate the strategy.
  • You will work with Data Warehouse software, SQL, Stored Procedure development, large and complex data sets; design, build and maintain Data Lake solutions; design, build and deploy large scale real-time and batch Data pipelines.
  • You need to be fluent in Python, Big Data technologies (such as Spark, Data Lakes...), Airflow, AWS Redshift and AWS Glue.
  • Our client’s mindset and approach to our collaboration is enabling us to take ownership over the technologies used and go beyond deliverables and act as a partner and a consultant within the organization.