Data Engineer

About us

At Laurens Coster, we truly care not only about our clients and their success, but also about our team and their satisfaction. We are a small, but successful agency that’s been around for over 10 years on the market. This allows us to really know the people we’re working with every day. If there’s a problem, we support and help each other, just like that.

We know that people hate spending hours in unproductive meetings so we simply don’t waste any time in them if our input is not needed. We’re also not fans of corporate talk and endless procedures either. Do you want to leave earlier or start later? Maybe you have Pilates at 11AM? No problem, we’re open to talk about your weekly plans and tailor your working hours.

We also value our team’s independence and we want you to make good choices for yourself. You don’t feel like working from home today? Come to the office. Fully remote? Sure, not a problem for us, just choose what’s comfortable for you.

As we’re all either IT or data or marketing nerds, we understand that continuous development is part of the job, and we encourage people to learn more and be better. That’s why each month (during working hours) you can spend 16 hours participating in the training you choose (and we’ll even finance it for you – just choose a course that will help you grow in your role).

We’re also open (like really open!) to new ideas. Do you see a possible improvement to an existing project? Implement it and make your life easier. Do you know software that can make our work more productive? Talk to us about it and we’ll be happy to introduce it for the whole team. We just know that once you’re happy with your job, it’ll also be a pleasure for our clients to work with us.

Data Engineer is a position that requires both independence and the ability to work in a team. The main responsibilities in this position include designing and developing a data warehouse, building independently or collectively ETL processes. Here you will learn a professional approach to data management and you will learn about the data life cycle from the source to Business Intelligence systems.

Here are some things to expect in your day-to-day:

• Building and maintaining data pipelines and workflows using Apache Airflow and Apache Beam
• Designing and implementing data models, database schemas, and ETL processes
• Collaborating with cross-functional teams to understand business requirements and develop solutions
• Ensuring data quality and reliability by monitoring and debugging data pipelines
• Maintaining and improving our existing data infrastructure and processes
• Staying up-to-date with industry trends and best practices in data engineering

What are we looking for?

• Strong proficiency in SQL and Python
• Experience in building data warehouses on GCP (Google Cloud Platform)
• Knowledge of Apache Airflow and Apache Beam
• Experience in data modeling, database design, and data schema optimization
• Familiarity with distributed systems and big data technologies such as Hadoop and Spark
• Experience with version control systems, such as Git
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• English level: C1

We will be super happy if:

• You have experience with other cloud platforms such as AWS or Azure
• You have experience with machine learning workflows and pipelines
• You have experience with data visualization tools such as Tableau or Power BI
• You have experience with Docker and Kubernetes

We offer:

• B2B contract
• paid holidays
• private medical care (LuxMed)
• option of working from our office in Rynek in Wrocław (Św. Mikołaja) / Żoliborz in Warsaw (Plac Inwalidów) or fully remote work from similar timezone to CEST
• working 8h/day (30m lunch break included)
• flexibility in your working hours
• work in a young, well-coordinated team - with enthusiasts of modern solutions and technologies
• company retreats abroad or in Poland once a year (bonding time, yeah!)
• yearly budget of $2,000 for your training and development during working hours (16h/month)