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Data Engineer

Digitalforms · Warsaw, Warsaw, Mazowieckie, Poland · Remote · Active · Recruitee

Job facts

FieldValue
CompanyDigitalforms
TitleData Engineer
Normalized title-
Department / team-
LocationWarsaw, Mazowieckie, Poland
Work modelRemote / Remote
Employment typeContract
SalaryPLN 10080 33600 month
Statusactive
ATS providerRecruitee
Posted / first seen2025-01-23 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Digitalforms.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Recruitee.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Warsaw.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDigitalforms
Sourceb1fca60b-3e16-49a6-a178-580ab70abb41
ATS providerRecruitee

Description

description Join our team as a Data Engineer! Design and implement robust data pipelines, build scalable data lakes, and enable business insights through efficient data systems. Work remotely from Poland on a B2B contract. requirements Responsibilities Build and maintain scalable data pipelines (ETL/ELT) to collect, transform, and integrate data from various systems into a centralized Data Lake. Design and optimize data architectures for reporting and analytics purposes. Ensure data quality, security, and availability across systems. Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts. Monitor and troubleshoot data pipelines to ensure smooth operation. Stay updated on industry trends and best practices in data engineering. Must-Have Requirements Hard Skills: Proven experience in designing and maintaining data pipelines (e.g., Apache Airflow, Talend, or similar tools). Strong knowledge of SQL and programming languages such as Python. Experience with data lakes and data warehouses (e.g., Snowflake, AWS S3, or BigQuery). Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing. Understanding of data modeling and optimizing database performance. Soft Skills: Analytical mindset with a problem-solving approach. Strong communication skills to work effectively with technical and non-technical stakeholders. Process-oriented and detail-focused, with an emphasis on quality. Availability Must be available for a 4-hour overlap between 15:00 and 19:00 Poland time to ensure real-time collaboration. sharing_description Join our team as a Data Engineer! Design and implement robust data pipelines, build scalable data lakes, and enable business insights through efficient data systems. Work remotely from Poland on a B2B

Full job record

Job ID385a9dab9a5eb35c165ad3b2986d8756f7413eb7
Org ID35e54cfb-451e-4e05-8180-9eb48893be96
Source IDb1fca60b-3e16-49a6-a178-580ab70abb41
Board IDb1fca60b-3e16-49a6-a178-580ab70abb41
Providerrecruitee
Provider Job Key1994048
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextWarsaw, Warsaw, Mazowieckie, Poland
Department
Team
Employment Typecontract
Workplace Typeremote
Remote Policyremote
CountryPoland
RegionMazowieckie
CityWarsaw
Salary RawPLN 10080 33600 month
Salary Min
Salary Max
Salary Currency
Salary Periodmonth
Source URLhttps://digitalforms.recruitee.com/o/data-enginner
Apply URLhttps://digitalforms.recruitee.com/o/data-enginner/c/new
First Seen At2026-05-30 06:02:29Z
Last Seen At2026-06-06 10:11:14Z
Last Checked At2026-06-06 10:11:14Z
Last Changed At2026-05-30 06:02:29Z
Inactive At
Source Posted At2025-01-23 08:42:34Z
Source Updated At2026-05-11 12:39:08Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=recruitee/board=digitalforms.recruitee.com/date=2026-06-06/2026-06-06T10-11-13-794Z-d890cc5f392f72915637f8dd4d41973ca7264775bb92b81deaa391be4de891ee.json
Event Fields
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  "last_changed_at": "2026-05-30T06:02:29.990Z",
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}
Parsed Structured
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Extensions
{}
Native Structured
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  "requirements": "<h4><strong><span style=\"color:#000000\">Responsibilities</span></strong></h4><ul><li><p>Build and maintain scalable data pipelines (ETL/ELT) to collect, transform, and integrate data from various systems into a centralized Data Lake.</p></li><li><p>Design and optimize data architectures for reporting and analytics purposes.</p></li><li><p>Ensure data quality, security, and availability across systems.</p></li><li><p>Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts.</p></li><li><p>Monitor and troubleshoot data pipelines to ensure smooth operation.</p></li><li><p>Stay updated on industry trends and best practices in data engineering.</p><p style=\"min-height: 1.7em;\"></p></li></ul><h4><strong><span style=\"color:#000000\">Must-Have Requirements</span></strong></h4><h3></h3><h4><strong>Hard Skills:</strong></h4><ul><li><p>Proven experience in designing and maintaining data pipelines (e.g., Apache Airflow, Talend, or similar tools).</p></li><li><p>Strong knowledge of SQL and programming languages such as Python.</p></li><li><p>Experience with data lakes and data warehouses (e.g., Snowflake, AWS S3, or BigQuery).</p></li><li><p>Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing.</p></li><li><p>Understanding of data modeling and optimizing database performance.</p></li></ul><h4><strong>Soft Skills:</strong></h4><ul><li><p>Analytical mindset with a problem-solving approach.</p></li><li><p>Strong communication skills to work effectively with technical and non-technical stakeholders.</p></li><li><p>Process-oriented and detail-focused, with an emphasis on quality.</p></li></ul><h4><strong><span style=\"color:#000000\">Availability</span></strong></h4><ul><li><p><span style=\"color:#000000\">Must be available for a 4-hour overlap between </span><strong><span style=\"color:#000000\">15:00 and 19:00 Poland time</span></strong><span style=\"color:#000000\"> to ensure real-time collaboration.</span></p></li></ul>",
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  "sharing_image": null,
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  "dynamic_fields": [],
  "education_code": "bachelor_degree",
  "open_questions": [
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      "id": 2937290,
      "body": "How many years of professional experience do you have?",
      "kind": "number",
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              "body": "Azure Data Lake"
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              "body": "BigQuery"
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  "employment_type_code": "contract",
  "options_cover_letter": "optional",
  "locations_question_type": "multiple_choice",
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}
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