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Salary
≈ $71k – $164k per year (Estimated)
Location
Remote (likely Poland)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Feb 12, 2026.

Overview
Company
Impact
Profile match
We design Big Data platforms. We realize the full potential of data. Data is about people - for people | Datumo Consulting.

We’re looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce , telecommunications and life sciences . Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects.

Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together!

Must-have:

at least 3-4 years of commercial experience in programming,

proven record with a cloud provider - Google Cloud Platform,

strong knowledge of Python, SQL and JVM languages (Scala or Java or Kotlin),

experience in BigQuery data warehousing solution,

in-depth understanding of big data aspects like data storage, modeling, processing, scheduling etc.,

understanding of Apache Spark (or similar distributed data processing framework),

data modeling and data storage experience,

ensuring solution quality throughautomatic tests, CI/CD and code review,

proven collaboration with businesses,

English proficiency at min. B2 level, proficient in Polish.

Nice to have:

knowledge of dbt, Docker and Kubernetes, Apache Kafka,

familiarity with Apache Airflow or similar pipeline orchestrator,

another JVM (Java/Scala/Kotlin) programming language,

experience in Machine Learning projects,

familiarity with one of BI tools: Power BI/Looker/Tableau,

willingness to share knowledge (conferences, articles, open-source projects).

What’s on offer:

100% remote work, with workation opportunity,

20 free days,

onboarding with adedicated mentor,

project switching possible after a certain period,

individualbudget for training and conferences,

benefits: Medicover Private Medical Care, co-financing of the Medicover Sport card,

opportunity to learn English with a native speaker,

regularcompany trips and informal get-togethers.

Development opportunities in Datumo:

participation in industry conferences,

establishing Datumo's online brand presence,

support in obtaining certifications (e.g. GCP, Azure, Snowflake),

involvement in internal initiatives, like building technological roadmaps,

training budget,

access to internal technological training repositories.

Discover our exemplary project:

IoT data ingestion to cloud

The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer.

Petabyte-scale data platform migration to Google Cloud

The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer.

Data analytics platform for investing company

The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented.

Recruitment process:

1⃣Tech quiz - 15 minutes

2⃣Soft skills interview - 30 minutes

3⃣Technical interview - 60 minutes

Find out more by visiting our website - https://www.datumo.io

If you like what we do and you dream about creating this world with us - don’t wait, apply now!

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