Senior Data Engineer

2 dni temu

zdalnie, Polska DACl Pełny etat

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 – PLN net/month – pure B2B contract
  • 24 500 – 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.
Sounds like your cup of tea?

We are excited to have you on our team

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