Senior Data Engineer with Tableau

Added: 28.07.2026

Senior Data Engineer with Tableau

Work type:

HybridRemote

Location:

Poland

Tech stack:

EnglishETLPower BIPython

Added: 28.07.2026

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Multiple locations

Region: Europe

Country
Poland

Your responsibilities:

Data Engineering & Architecture

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver Finance data from multiple source systems into Snowflake
  • Implement data blending strategies to consolidate data across heterogeneous sources (ERP systems, flat files, APIs, databases) into unified, trusted datasets
  • Apply Snowflake-native capabilities: dynamic tables, streams, tasks, materialized views, data sharing, and time travel
  • Model data using dimensional and modern approaches (e.g. Data Vault, medallion architecture) appropriate to Finance use cases
  • Ensure data quality, consistency, and lineage through robust testing and monitoring practices
  • Optimize query performance and cost efficiency within Snowflake

Pipelines & Orchestration

  • Build and maintain data pipelines using orchestration tools such as Apache Airflow, dbt, or equivalent
  • Implement CI/CD practices for data pipelines using GitHub Actions or similar, ensuring version-controlled, reviewable, and deployable data code
  • Monitor pipeline health, set up alerting, and own incident resolution for data failures

Backend & API Development

  • Design and develop RESTful APIs to expose Finance data to internal web applications and downstream consumers
  • Collaborate with frontend and full-stack developers to define data contracts and ensure reliable, performant backend integration
  • Implement authentication, authorization, and data access governance appropriate for sensitive Finance data

Cloud & Infrastructure

  • Work within cloud environments (AWS) and apply cloud data warehouse best practices around security, scalability, and cost management
  • Contribute to infrastructure-as-code practices where relevant (Terraform or equivalent)
  • Champion data security and compliance standards, particularly around financial data sensitivity and regulatory requirements

Collaboration & Standards

  • Partner with Finance domain experts and analysts to understand data needs and translate them into technical solutions
  • Contribute to and enforce data engineering standards, documentation, and best practices across the team
  • Mentor junior engineers and act as a technical reference point within the domain

We are looking for you, if you have:

  • 5+ years of experience in data engineering, with at least 2 years working extensively with Snowflake in a production environment
  • Strong hands-on experience with ETL design, data blending, and complex data transformation logic
  • Proficiency in SQL (advanced level) and Python for data engineering tasks
  • Experience building and maintaining data pipelines with orchestration tools (Airflow, dbt, Prefect, or similar)
  • Solid understanding of cloud data warehouse concepts: partitioning, clustering, materialized views, query optimization, and cost governance
  • Experience working with Finance data (general ledger, cost center structures, P&L, FP&A, or similar domains) is a strong advantage
  • Proficiency with GitHub for version control, branching strategies, and collaborative code review
  • Experience developing and documenting backend REST APIs
  • Familiarity with CI/CD pipelines for data workloads

Nice to Have

  • Experience with SAP (S/4HANA, BW4) or other ERP source systems as data origins
  • Knowledge of data governance frameworks and metadata management tools (e.g. Collibra, DataHub)
  • Exposure to Snowflake’s data sharing and Marketplace capabilities
  • Familiarity with dbt (data build tool) for transformation and testing
  • Understanding of dimensional modeling
    Experience in regulated industries (pharma, finance, life sciences)

Tech Stack

  • Data Platform: Snowflake
  • Orchestration: Apache Airflow / dbt
  • Languages: Python, SQL
  • Version Control & CI/CD: GitHub, GitHub Actions
  • Cloud: Azure / AWS
  • API: REST, FastAPI or equivalent
  • BI & Consumption Layer: Tableau or equivalent

We offer:

  • Participation in interesting and demanding projects.
  • Flexible working hours.
  • A great, non-corporate atmosphere.
  • Possibility to work remote or hybrid (2 days per week from the office).
  • Opportunities for development and promotion.
  • Attractive package of benefits.

We reserve the right to contact the selected candidates.

Why is it worth joining TTMS?

1

Flexible working hours

Not everyone feels comfortable working the standard 9 a.m. to 5 p.m. hours. We have been successfully running projects for many years despite diversified work patterns.

2

Possibility of hybrid work

At TTMS, desk-to-desk work is what drives us, but we understand if someone prefers a hybrid model. We are equipped with all the necessary tools to work in a hybrid model.

3

Great, non-corporate atmosphere

Professionalism, attention to the quality of work and a friendly, informal atmosphere are not mutually exclusive. A flat structure and natural, friendly relationships create the basis for creativity and innovation.

4

Interesting, international projects

We create solutions for medium and large companies, we are present in Poland, Malaysia, Denmark, the UK, Switzerland, and India – the effects of your work will travel around the world. In TTMS you have an influence on the company’s success.

5

Together towards climate neutrality

We select subcontractors to minimize the carbon footprint, organize bush plantings, save peat bogs – all to achieve climate neutrality in 2025. We are glad that we are attracting more and more people who also care about sustainable development and environmental protection.

6

Friendly offices

Our offices are modern spaces that inspire employees and are environmentally friendly. Białystok is the kingdom of Marvel superheroes, Krakow is a soothing tropical forest, Wrocław is an art gallery, and the Lublin branch is a rock u0022hall of fameu0022.

Would you like to work for us?

Our offices