As a Data Platform Engineer, you will support the design, implementation, and maintenance of our modern Data Platform. As a core member of the team, you will have a tangible impact on the final product and our underlying architecture. The platform uses a mix of cutting-edge open-source data technologies, such as Prefect 3, dlt (data load tool), dbt, and various data warehouses (eg. Redshift/BigQuery), alongside our own Python connector library and custom dbt-based data catalog. It supports data workloads tailored to our business needs. You will join a team of driven engineers working together to deliver an amazing user experience and tangible business value. What will you do at dyvenia?
You will be responsible for: Building & Scaling the platform:
Designing and optimizing our core data infrastructure. Pipeline Engineering:
Creating, monitoring, and troubleshooting ELT and reverse ETL jobs to ingest and transform data across various systems. Data Governance & Discovery:
Contributing to and maintaining our internal data catalog based on dbt. Driving Innovation:
Advocating for state-of-the-art methods of handling data, including data lakehouse architectures, Infrastructure as Code (IaC), DataOps, and modern DevOps practices. AI Integration & Collaboration:
Partnering with our dedicated AI R&D team to support their initiatives. You will leverage AI agents to optimize your own workflows and help build the data foundations necessary to power the R&D team's agents. You will be working with the following technologies:
Languages:
Strong Python, advanced SQL Data Orchestration & Transformation:
Prefect, dbt, dlt (data load tool) Cloud & Warehousing:
AWS (primary cloud) and Amazon Redshift; exposure to GCP and Google BigQuery on specific projects Databases & APIs:
Postgres, FastAPI (occasional use) DevOps & Infrastructure:
Docker, Kubernetes, CI/CD, GitHub, GitLab OS & Version Control:
Linux, bash, git What your daily job will entail:
50%
working on new functionality and platform engineering 20%
code reviews and mentoring 20%
maintenance and optimization 10%
meetings and training What will you need to be successful in the role? (What do we expect from you?)
As a Data Platform Engineer, you demonstrate strong proficiency in the modern data engineering landscape. You are a problem-solver who can also clearly communicate infrastructure concepts to non-technical colleagues. Core requirements:
Strong programming skills in Python Intermediate to advanced SQL proficiency Solid understanding of cloud environments (especially AWS) and cloud data warehouses (Redshift, BigQuery) Hands-on experience with modern ETL/ELT pipelines and data modeling Understanding of containerization (Docker/Kubernetes) and CI/CD pipelines Experience working in a Linux environment What do we offer in return?
In return for your great skills and knowledge, we offer: Competitive salary in the range of 12K-14K PLN monthly/gross
, aligned with experience and qualifications. Luxmed Private Health Care package covered Public Transport monthly tickets covered Co-financed Multisport membership Mentoring and training. We want you to thrive as a member of our team and for that reason, we will provide you with a lot of opportunities to grow both personally and professionally. A relaxed working environment with lots of support, nurturing, but also fun. You will be based in the Krakow office in a hybrid format (3 days per week). Additional Information: Candidates must be located in Krakow, Poland. This position offers a competitive salary, benefits, and opportunities for professional growth. About us
dyvenia supports some of the biggest and most respected organizations in Europe in leveraging Cloud infrastructure, advanced analytics, and solid data foundations so that they can gain actionable insights and make impactful business actions based on their data. We work with state-of-the-art technologies, have some of the best people on our team, and, yes, we also get to have fun in the process. You can learn more about our team here: https://www.dyvenia.com/careers In case you have liked what you have learned about us and the role, we would like to get to know you!
