technologies-expected

Expected, Databricks, Spark, SQL, Python, Snowflake, Microsoft Power BI, Tableau, Git, AWS, Microsoft Azure

technologies-optional

Optional, Apache Airflow, Dagster, AWS

technologies-os

Operating system, Linux

Opis stanowiska

About the project, You will join a data engineering team working on cloud-based solutions for clients in industries such as finance, banking, insurance, and healthcare., , Typical projects include:, • Migration from on-premise systems to modern cloud data platforms, • Building modern and scalable data pipelines and analytics layers, • Designing data architectures (lakehouse / data warehouse), You will work on real production systems, delivering reliable data solutions that power business decisions across entire organizations. You will also have real influence on technical decisions and the shape of the data platform., , Depending on the project, you will work with a subset of the following technologies:, • Databricks, Spark, • Python, SQL, • Snowflake, • Power BI / Tableau, • Microsoft Azure (Blob Storage, Azure Functions, Fabric, Databricks, AI Search), • (Optional) Apache Airflow / Dagster, , We work on multiple projects at the same time, so we may suggest a different project if it better matches your experience and profile.

Twoje zadania

Your responsibilities, Focus on building and optimizing data platforms, with some exposure to analytics., Design and build scalable ETL / ELT pipelines, Develop data transformations (SQL / Python / dbt), Model data using best practices, Optimize performance and cost of data processing, Ensure data quality (testing, validation, monitoring), Support cloud migration initiatives, Collaborate with analytics teams to deliver clean, reliable datasets, Support analytics teams in building dashboards and reporting layers

Wymagania

Strong experience with Databricks (Spark), Advanced SQL skills (including query optimization), Experience with Python, Experience with Snowflake, Experience with BI tools (Power BI / Tableau), Experience with version control systems (Git), Experience with AWS or Azure, Good knowledge of English (minimum C1 level)

Wymagania

Optional, Experience with Apache Airflow, Dagster, or similar orchestration tools, Experience with Azure AI Search or AWS OpenSearch

work-organization-work-style

This is how we work, at the client's site, agile

Co oferujemy

What we offer, Flexible working hours and approach to work: fully remotely, in the office or hybrid, Professional growth supported by internal training sessions and a training budget, Solid onboarding with a hands-on approach to give you an easy start, A great atmosphere among professionals who are passionate about their work

Co oferujemy

Benefits, sharing the costs of sports activities, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, fruits, integration events, no dress code, coffee / tea, drinks

recruitment-stages

Recruitment stages, Meeting with the Recruiter, Technical Interview&Meeting with the Engineering Manager, Interview with the Client

Opis stanowiska

CODILIME SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ, CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe)., , While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:, , • Act to deliver., • Disrupt to grow., • Team up to win.

Opis stanowiska

You will join a data engineering team working on cloud-based solutions for clients in industries such as finance, banking, insurance, and healthcare.

Typical projects include:

• Migration from on-premise systems to modern cloud data platforms

• Building modern and scalable data pipelines and analytics layers

• Designing data architectures (lakehouse / data warehouse)

You will work on real production systems, delivering reliable data solutions that power business decisions across entire organizations. You will also have real influence on technical decisions and the shape of the data platform.

Depending on the project, you will work with a subset of the following technologies:

• Databricks, Spark

• Python, SQL

• Snowflake

• Power BI / Tableau

• Microsoft Azure (Blob Storage, Azure Functions, Fabric, Databricks, AI Search)

• (Optional) Apache Airflow / Dagster

We work on multiple projects at the same time, so we may suggest a different project if it better matches your experience and profile.

Twoje zadania

Focus on building and optimizing data platforms, with some exposure to analytics.
Design and build scalable ETL / ELT pipelines
Develop data transformations (SQL / Python / dbt)
Model data using best practices
Optimize performance and cost of data processing
Ensure data quality (testing, validation, monitoring)
Support cloud migration initiatives
Collaborate with analytics teams to deliver clean, reliable datasets
Support analytics teams in building dashboards and reporting layers

Co oferujemy

Flexible working hours and approach to work: fully remotely, in the office or hybrid
Professional growth supported by internal training sessions and a training budget
Solid onboarding with a hands-on approach to give you an easy start
A great atmosphere among professionals who are passionate about their work

Recruitment stages

Meeting with the Recruiter
Technical Interview&Meeting with the Engineering Manager
Interview with the Client

Data Engineer

CODILIME sp. z o.o.