Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
At Inetum, jobs usually come down by about day 26.
From 12,066 similar postings that came down, and 126 of Inetum’s. Coming down is not always a hire.
Regular Data Engineer / I
Warsaw, Masovian Voivodeship, Poland
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake.
Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.
Design and maintain data models in Snowflake, covering staging, core and data mart layers.
From the employer’s posting
Your responsibilities: Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake. Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.
Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake. Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines. Design and maintain data models in Snowflake, covering staging, core and data mart layers.
Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines. Design and maintain data models in Snowflake, covering staging, core and data mart layers. Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages.
What you’ll bring
All qualificationsCore experience
- Proven experience building end-to-end data pipelines, from ingestion through transformation to consumption.
- Experience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates.
- Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control.
- Experience building CI/CD pipelines with Azure DevOps or GitHub Actions.
- Solid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts.
- Good understanding of data warehousing concepts, including dimensional modelling, Slowly Changing Dimensions (SCD) and incremental loading.
Qualification wording
Proven experience building end-to-end data pipelines, from ingestion through transformation to consumption.
Experience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates.
Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control.
Experience building CI/CD pipelines with Azure DevOps or GitHub Actions.
Solid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts.
Good understanding of data warehousing concepts, including dimensional modelling, Slowly Changing Dimensions (SCD) and incremental loading.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Inetum is hiring
32 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Azure
- SAP
- Snowflake
- Terraform
Where the posting names them
- Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages. - Write, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation. - Integrate Azure services, including Azure Data Lake Storage Gen2, Azure Key Vault, Azure SQL and Azure Functions.
- Write, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation. - Integrate Azure services, including Azure Data Lake Storage Gen2, Azure Key Vault, Azure SQL and Azure Functions. - Monitor data pipelines, troubleshoot failures and optimise solutions for both performance and cost.
- Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control. - Advanced knowledge of SQL, including joins, CTEs, window functions and query optimisation. - Solid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts.
Job Description We are looking for an experienced Data Engineer to join a project focused on building and developing modern cloud-based data solutions. You will work primarily with Microsoft Azure, Azure Data Factory and Snowflake, designing end-to-end data pipelines and transforming data into reliable, scalable datasets for reporting and analytics. The role combines hands-on data engineering, data modelling and cloud integration, with a strong focus on performance, automation and data quality.
- Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake. - Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines. - Design and maintain data models in Snowflake, covering staging, core and data mart layers.
- Proven experience building end-to-end data pipelines, from ingestion through transformation to consumption. - Hands-on commercial experience with Azure Data Factory in production environments. - Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control.
- Advanced knowledge of SQL, including joins, CTEs, window functions and query optimisation. - Solid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts. - Good understanding of data warehousing concepts, including dimensional modelling, Slowly Changing Dimensions (SCD) and incremental loading.
- Experience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates. - Experience building CI/CD pipelines with Azure DevOps or GitHub Actions. - Relevant cloud or data certifications, for example Azure Data Engineer Associate (DP-203) or SnowPro Core.
- Experience building CI/CD pipelines with Azure DevOps or GitHub Actions. - Relevant cloud or data certifications, for example Azure Data Engineer Associate (DP-203) or SnowPro Core. Additional Information
- Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs. - Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow. - Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs.
Your responsibilities: - Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake. - Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.
- Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines. - Design and maintain data models in Snowflake, covering staging, core and data mart layers. - Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages.
- Design and maintain data models in Snowflake, covering staging, core and data mart layers. - Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages. - Write, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation.
- Hands-on commercial experience with Azure Data Factory in production environments. - Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control. - Advanced knowledge of SQL, including joins, CTEs, window functions and query optimisation.
Nice to have: - Experience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates. - Experience building CI/CD pipelines with Azure DevOps or GitHub Actions.
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
We are looking for an experienced Data Engineer to join a project focused on building and developing modern cloud-based data solutions. You will work primarily with Microsoft Azure, Azure Data Factory and Snowflake, designing end-to-end data pipelines and transforming data into reliable, scalable datasets for reporting and analytics.
The role combines hands-on data engineering, data modelling and cloud integration, with a strong focus on performance, automation and data quality.
Your responsibilities:
- Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake.
- Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.
- Design and maintain data models in Snowflake, covering staging, core and data mart layers.
- Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages.
- Write, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation.
- Integrate Azure services, including Azure Data Lake Storage Gen2, Azure Key Vault, Azure SQL and Azure Functions.
- Monitor data pipelines, troubleshoot failures and optimise solutions for both performance and cost.
- Apply CI/CD and Git-based version control, supporting controlled promotion of data solutions between environments.
- Create and maintain technical documentation for pipelines and data models.
- Collaborate with stakeholders to understand business needs and translate them into scalable data solutions.
Qualifications
What we're looking for:
- At least 3 years of professional experience as a Data Engineer or in a similar data-focused role.
- Proven experience building end-to-end data pipelines, from ingestion through transformation to consumption.
- Hands-on commercial experience with Azure Data Factory in production environments.
- Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control.
- Advanced knowledge of SQL, including joins, CTEs, window functions and query optimisation.
- Solid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts.
- Good understanding of data warehousing concepts, including dimensional modelling, Slowly Changing Dimensions (SCD) and incremental loading.
- Ability to troubleshoot data-processing issues and work independently on technical solutions.
Nice to have:
- Experience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates.
- Experience building CI/CD pipelines with Azure DevOps or GitHub Actions.
- Relevant cloud or data certifications, for example Azure Data Engineer Associate (DP-203) or SnowPro Core.
Additional Information
Fluency in Polish and English required.
Hybrid work model: 2 days from the office, 3 days of home office.
Office location: Warsaw, Poznań, Lublin, Katowice, Rzeszów or Łódź.
Thank you for your interest in our offer. We will contact selected candidates whose experience best matches the requirements of the role.
Additional Information
We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:
https://inetum.whispli.com/speakup?locale=pl
Company Description
Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.
Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:
- Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.
- Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs.
- Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.
- Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs.
With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market.
Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:
Attractive financial benefits:
- A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
- Generous referral bonuses, offering up to PLN6,000 for referring specialists.
- Additional revenue sharing opportunities for initiating partnerships with new clients.
Professional development and team support:
- Ongoing guidance from a dedicated Team Manager for each employee.
- Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.
Community and Well-Being:
- Dedicated team-building budget for online and on-site team events.
- Opportunities to participate in charitable initiatives and local sports programs.
- A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Masovian Voivodeship, Poland
Fluency in Polish and English required. Hybrid work model: 2 days from the office, 3 days of home office. Office location: Warsaw, Poznań, Lublin, Katowice, Rzeszów or Łódź.
More source context
Community and Well-Being: - Dedicated team-building budget for online and on-site team events. - Opportunities to participate in charitable initiatives and local sports programs.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.