Data Engineer

At DAC.digital, we are constantly growing our business. As part of our growth strategy, we are strengthening our strategic partnership with a company specializing in crafting data models, dashboards, and data activation.

Key information:

Salary:

• 28 000 - 31 000 PLN net/month - pure B2B contract

• 24 500 – 27 000  PLN net/month – B2B contract (days off included)

It is vital that you have:

• 4+ years hands-on data engineering / platform experience;

• strong experience with Spark/PySpark, Kafka or other streaming platforms, cloud-native data lakes or lakehouses (Iceberg, Delta Lake, Hudi, with Iceberg as a plus), dbt or similar transformation frameworks, and advanced SQL including performance tuning;

• solid Python skills for data pipelines and integration work;

• familiarity with NLP / LLM-driven text processing workflows (embedding models, classification, enrichment);

• experience with BI / query engines such as Dremio, Trino, Presto, or BigQuery plus a viz tool (Metabase, Looker, Power BI, etc.);

• experience deploying data platforms in cloud and/or on-prem environments - Docker, Kubernetes (or equivalent orchestration), CI/CD for data pipelines;

• understanding of security, networking basics and how to operate inside restricted enterprise environments (no direct internet access, firewall rules, etc.);

• knowledge of English (min. B2);

• high communication skills;

• eager to learn and share knowledge.

Nice to have:

• experience with marketing / growth analytics, CDP, or telco data;

• background in ML/AI beyond pipelines (e.g. recommendation systems, uplift modelling);

• prior experience in consulting / client-facing roles;

• some front-end exposure (Metabase customisation, simple React dashboards) if we want one person to bridge.

Technology stack:

• Python

• SQL

• Apache Spark / PySpark

• Kafka

• Iceberg

• Nessie

• MinIO

• Kubernetes

• Helm Charts

You will be responsible for supporting our team in:

• designing, implementing, and maintaining streaming and batch data pipelines using Kafka, Spark/PySpark, Apache Iceberg, and dbt;

• managing schema evolution, partitioning, performance, and data quality in the Iceberg lakehouse;

• building and maintaining NLP and enrichment flows;

• integrating with LangChain and LangGraph-based components to resolve senders to companies, enrich data from public internet sources, and classify companies into brand categories and verticals such as F&B, footwear, and online brokers;

• supporting experimentation with ML and NLP components, including monitoring and logging;

• working with Dremio and Metabase to ensure performant queries and dashboards and expose data in a usable ways;

• handling deployment and operations in constrained environments, including on-prem or behind-firewall deployments at MNOs, containerisation with Docker and Kubernetes, and logging and lightweight monitoring for services and pipelines;

• ensuring stability, observability, and reproducibility of the platform.

What do we offer:

• possibility to work 100% remotely or on-site at our office in Gdańsk;

• b2b contract with included 30 days off;

• private Medical care;

• group insurance;

• pre-paid card or Sport Card;

• referral program;

• real Agile practices;

• employee well-being online platform;

• cafeteria benefits.