Job Description
Company Description
Talan – Positive Innovation
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.
Talan at a Glance
Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.
Our Core Areas of Expertise
Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.
Job Description
Data Engineering & Pipeline Development
Design, build, and maintain scalable and reliable data pipelines (batch and streaming).
Ingest and integrate data from multiple sources (SQL/NoSQL databases, APIs, files, cloud services).
Develop and maintain efficient ETL/ELT processes and data workflows.
Ensure data quality, integrity, and availability across the data lifecycle.
Optimize data storage and processing for performance and cost efficiency.
Data Platform & Architecture
Design and maintain modern data architectures (Data Lake, Data Warehouse, Lakehouse).
Implement scalable data models to support analytics and operational use cases.
Manage orchestration, scheduling, and monitoring of data pipelines.
Maintain and improve cloud-based data infrastructure.
Apply data governance practices, version control, and technical documentation standards.
AI/ML & Data Infrastructure Support
Build and maintain data pipelines that support AI and Machine Learning use cases.
Prepare curated datasets and feature-ready data for Data Science teams.
Implement ingestion and processing pipelines for LLM-based applications.
Manage embedding pipelines and integrations with vector databases.
Support RAG architectures from a data engineering and infrastructure perspective.
Monitoring, Reliability & Performance
Implement monitoring, alerting, and observability for data pipelines and workflows.
Detect and resolve data quality issues, pipeline failures, and performance bottlenecks.
Optimize queries, data models, and processing jobs to improve scalability and reliability.
Qualifications
Requirements
Strong experience with Python focused on data processing and pipeline development.
Advanced SQL skills and solid understanding of data modeling concepts.
Hands-on experience with:
ETL/ELT frameworks
Workflow orchestration tools (e.g., Airflow, Prefect, Dagster, or similar)
Distributed data processing frameworks (e.g., Apache Spark or similar)
Experience working with cloud platforms, especially:
Microsoft Azure (e.g., Data Factory, Synapse, Fabric, Azure AI Foundry)
Google Cloud (e.g., BigQuery, Dataflow, Cloud Composer, or similar services)
Experience supporting LLM-based data infrastructure, including:
Vector databases
Embedding pipelines
Integration with frameworks such as LangChain (from a data engineering perspective)
Familiarity with BI tools and supporting analytical data models (Power BI, Tableau, Qlik).
Strong communication skills and ability to work in cross-functional teams.
High level of English and Polish is a must.
Additional Information
What do we offer you?
- This is a hybrid position based in Warsaw, Poland.
- Full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as private medical insurance, life insurance.
- Possibility to be part of a multicultural team and work on international projects.
- Possibility to manage work-permits.
If you are passionate about data, development & tech, we want to meet you!
