14 providers · Poland

Data Engineering and Analytics Firms in Poland

The data engineering and analytics market in Poland serves the country's banking, insurance, energy, retail, manufacturing and a deep base of shared service centres operated for European and North American parents, with most enterprise activity concentrated around Warsaw, Kraków, Wrocław, Gdańsk and Poznań. Data Engineering and Analytics providers in Poland help enterprises with Data platform engineering, warehousing, business intelligence and analytics consulting for Polish and international buyers. TechVendorIndex tracks 14 providers actively delivering data engineering and analytics engagements in Poland, drawn from global systems integrators, regional Polish champions and specialist boutiques.

About data engineering and analytics in Poland

Data platform engineering, warehousing, business intelligence and analytics consulting for Polish and international buyers. Buyers in Poland typically engage providers in this category to support lakehouse migrations from on-premise Oracle and SAS estates to Databricks or Snowflake, regulatory reporting for KNF and EBA stress tests, customer-data-platform builds for retail and telecom, and the data-foundation prerequisites for the wave of generative AI investment kicking off in 2025-2026, with delivery shaped by local obligations under EU GDPR, KNF outsourcing recommendations for the financial sector, the Polish Act on the National Cybersecurity System (KSC), UODO data protection rulings, and the EU Digital Operational Resilience Act (DORA).

Top data engineering and analytics providers in Poland

The 14 firms below are ranked by verified delivery presence in Poland, with focus and rating drawn from TechVendorIndex verified reviews. No vendor pays for placement.

Provider
Focus in Data Engineering & Analytics
Rating
Reviews
Accenture Data Poland
HQ: Warsaw · Lakehouse and BI at scale
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.2
460 reviews
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Deloitte Analytics Poland
HQ: Warsaw · BI, AI and risk analytics
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.1
320 reviews
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Capgemini Insights Poland
HQ: Wrocław · Snowflake and Databricks delivery
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.0
380 reviews
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EPAM Poland Data
HQ: Kraków, Wrocław · Engineering and platform data
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.3
410 reviews
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Sii Polska Data
HQ: Warsaw · Data engineering and BI
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.1
280 reviews
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Future Processing
HQ: Gliwice · Data engineering for UK and DACH
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.3
180 reviews
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Software Mind Data
HQ: Kraków · Data platforms for BFSI and telco
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.2
160 reviews
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Cognizant Poland Data
HQ: Kraków · Snowflake, Informatica, dbt
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.0
220 reviews
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Lingaro
HQ: Warsaw · Enterprise analytics, BI, MDM
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.2
240 reviews
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Predica (Sii) Data
HQ: Warsaw · Azure Synapse, Fabric, Power BI
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.2
180 reviews
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BluePi Polska
HQ: Warsaw · Cloud data warehousing
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.0
90 reviews
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DataWalk
HQ: Wrocław · Investigative analytics platform
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.0
60 reviews
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Algolytics
HQ: Kraków · Analytics for BFSI
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.1
80 reviews
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DAC.digital
HQ: Gdańsk · Embedded and IoT analytics
Snowflake, Databricks, Microsoft Fabric and BigQuery
4.0
90 reviews
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Data Engineering & Analytics market overview in Poland

Within the broader PLN 105 billion enterprise IT services market in Poland, this discipline is one of the more active areas, broadly tracking the 5.8% headline expansion of the wider services market. Demand is concentrated in Warsaw, Kraków, Wrocław, Gdańsk and Poznań, with secondary clusters in Łódź, Lublin, Białystok and Rzeszów supporting nearshore delivery for European parents. Procurement decisions reflect the structural reality of the Polish market: a concentrated banking sector led by PKO BP, Pekao, Santander Bank Polska and ING Bank Śląski; the largest BPO and shared-service-centre cluster in continental Europe with more than 450,000 employees in Polish hubs; major industrial groups in mining, energy and chemicals (PGE, Orlen, KGHM); and a fast-growing technology base anchored by Allegro, CD Projekt and InPost. Hyperscaler region investment by Google in Warsaw, Microsoft in Warsaw and the Oracle and AWS regions in Warsaw has shifted procurement priorities toward data sovereignty, exit clauses and concentration risk. The most active mid-market discipline remains co-managed delivery, where Polish boutiques and software houses such as Asseco, Comarch, Sii, Software Mind and Future Processing hold meaningful share against the global integrators.

How to select a data engineering and analytics provider in Poland

Use the following criteria to shortlist providers before issuing a formal request for proposal. Most procurement teams in Poland weight references and operating-model fit more heavily than headline rate cards.

Typical engagement model

Typical engagements run 6 to 18 months for mid-sized estates, split into an assessment phase priced at fixed fee, a delivery phase on milestone-based billing, and an optional managed services tail. Hourly rates for senior consultants vary widely by city and onshore versus nearshore mix, with Warsaw commanding a 15 to 25 percent premium over Kraków, Wrocław or Łódź delivery centres.

Pricing should always be benchmarked against at least three references in Poland at comparable scope. Engage independent advisory support before signing multi-year contracts above PLN 20M annual contract value.

Related categories and regions

Compare the data engineering and analytics market in Poland with other service lines in the same country, or with data engineering and analytics in other markets covered by TechVendorIndex.

Frequently asked questions

How much do data engineering projects cost in Poland?
Discovery and target-architecture work prices at PLN 180,000 to PLN 700,000. Full lakehouse implementations for a mid-sized enterprise typically run PLN 3M to PLN 12M, with multi-domain enterprise data platforms reaching PLN 25M plus over 18 to 30 months.
How long does a data platform build take in Poland?
Minimum viable lakehouses typically reach production in 5 to 8 months. Full migrations of legacy data warehouses (Teradata, Oracle, SAS) usually take 12 to 24 months depending on report-conversion scope.
Which data platforms dominate in Poland?
Snowflake and Databricks lead enterprise share for new builds, with Microsoft Fabric increasingly common in Azure-aligned estates. Google BigQuery is strong in retail and ad-tech. SAS still has meaningful share in BFSI risk and actuarial workloads.
What should I look for in a data partner in Poland?
Platform certifications, demonstrated experience with KNF regulatory reporting if you are a financial entity, a clear data-governance methodology (DAMA or equivalent), strong dbt and Spark engineering capability, and references that demonstrate measurable business outcomes rather than vanity dashboards.
Last updated: May 2026
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