Senior Data Engineer - future opportunities

Idego Group Sp. z o.o.; Poland; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Remote work

Private medical insurance

Medicover Sport

Autonomy

Job summary

Idego Group Sp. z o.o. poszukuje Senior Data Engineer, który dołączy do zespołu i będzie pracował nad różnorodnymi projektami danych dla klientów z różnych sektorów.

Praca umożliwia pracę z rozproszonym zespolem i nowoczesnym środowiskiem AI. Zakres zadań obejmuje transformację danych, budowę i optymalizację potoków ETL/ELT oraz współpracę z analitykami nad wartościowymi rozwiązaniami danych. Projekty trwają 4–6 miesięcy z możliwością przedłużenia, a zespół składa się z doświadczonych

Qualifications

• Co najmniej 6 lat doświadczenia na stanowisku Data Engineer.
• Doświadczenie z nowoczesnym stosem danych: Snowflake i dbt (MUST HAVE).
• Python i SQL.
• Doświadczenie z Airflow lub Dagster (open source i administrowanie).
• Doświadczenie z infrastrukturą chmurową - AWS, Azure lub GCP.
• Biegła znajomość języka angielskiego.

Responsibilities

• Transformacja i modelowanie danych za pomocą dbt i Snowflake.
• Projektowanie i optymalizacja procesów ETL/ELT w Pythonie.
• Orkestracja i monitorowanie przepływów danych narzędziami Dagster, Airflow lub podobnymi.
• Zapewnienie wysokiej jakości danych w całych potokach.
• Praca z infrastrukturą chmurową (AWS/Azure/GCP w zależności od projektu).
• Integracja i zarządzanie źródłami danych narzędziami takimi jak Fivetran.
• Współpraca z zespołami analitycznymi i biznesowymi nad rozwiązaniami danych.

Skills

Snowflake

dbt

Python

SQL

Airflow

Dagster

AWS

Azure

GCP

English

Job description

O projekcie:

About company:

At Idego, you'll join a ~100-person team of experienced problem solvers building real products across Cloud, Data & AI, and Software Development.

The environment is genuinely AI-oriented - modern tech applied to real business problems, not chasing shiny trends. If you naturally connect the dots across tools, systems, and ideas, and you're someone who stays curious and takes ownership, this is the kind of place where that's noticed and valued.

On the culture side, things stay simple. Autonomy, common sense, zero micromanagement. No unnecessary corporate layers, no "let's look busy" theatre - just smart people working together and building things well.

The remote-friendly setup has been in place for years, so flexibility, trust, and healthy collaboration aren't perks - they're simply how Idego operates.

Modern tech, AI-driven thinking, meaningful projects - and a work culture built around trust, growth, and getting things done properly.

About project:

As a Senior Data Engineer at Idego, you won't be locked into a single industry or a single type of problem. Our clients come from diverse sectors - publishing, banking, healthcare, and beyond - which means you'll face genuinely varied technical challenges and have the opportunity to work across different data ecosystems and architectures.

We offer 4-6 month projects with the option to extend! And some of our people have been working with us for years.

Our perks:

• Fruit Fridays?Well... we have to admit that we don't organize such events. Seriously. No bananas, apples, tangerines... Instead, we've opted for something more practical: a snack cabinet full of drinks, healthy (and not so healthy) treats...
• From time to time, we prefer to send you a LEGO set or a cozy blanket - just in case you're allergic to citrus fruits.
• Work environment with zero micromanagement - we cherish autonomy
• Remote work, recruitment & onboarding -> People from the Tri-City are welcome to join us for lunch :)
• Experienced team from 4 to 15+ years in commercial projects
• Unique memes & pets channel
• Private medical insurance and Medicover Sport

We want you to join our team. We are neither the agency giving you projects from time to time, nor a huge corporation where you are a "dev XYZ". At Idego - you matter!

Wymagania:

• Must-have- at least 6+ years of professional experience in a Data Engineer role
• Experience with modern data stack tools: Snowflake and dbt (MUST HAVE)
• Python and SQL
• Hands-on experience with Airflow or Dagster (open source & administration)
• Experience with cloud infrastructure - AWS, Azure, or GCP
• Fluent English - you'll be working with international teams and clients

Codzienne zadania:

• Transforming and modeling data using dbt and Snowflake
• Designing, developing, and optimizing ETL/ELT processes in Python
• Orchestrating and monitoring data pipelines using tools such as Dagster, Airflow, or similar
• Ensuring high data quality across pipelines and data products
• Working with cloud infrastructure (AWS, Azure, or GCP depending on the project)
• Integrating and managing data sources using tools such as Fivetran or similar
• Optimizing query performance and data workflows
• Collaborating with analytics and business stakeholders to deliver data solutions that actually get used
• Contributing to architectural decisions and data platform improvements