Senior Data Engineer (contract)

Wipro Technologies; Kraków; Hybrid; PLN 120,000 - 170,000; Full time

Job summary

Wipro Technologies in Kraków, Poland, is seeking an experienced Data Engineer to design and maintain scalable data pipelines for large-scale environments. You will build relational and NoSQL databases, implement data models, and develop robust search and information retrieval features including indexing pipelines and semantic search.

The role requires expertise in Python, Scala, Spark, and cloud-native tools on Azure/Databricks, plus experience with graph databases like Neo4j or Cosmos DB.

Qualifications

• 5+ years of experience as a Data Engineer in big data environments.
• Strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design.
• Hands-on experience with search platforms or information retrieval technologies (indexing, ranking, text search, semantic search, metadata modeling, vector search, relevance tuning).
• Knowledge of Graph Databases (e.g., Neo4j, Cosmos DB Gremlin API) and their application to knowledge graphs or entity-relationship search.
• Strong programming skills in Python, Scala, Spark, and experience with Big Data tools such as Azure Cloud, Databricks, and PowerBI (or equivalents).
• Experience designing or maintaining search APIs, indexing pipelines, or metadata-driven search components.
• Good understanding of Agile methodologies and experience delivering incrementally within an Agile team.
• Strong communication and stakeholder-management skills, with the ability to translate search-related needs into technical solutions.
• Solid analytical, problem-solving, and data-management abilities.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data processing solutions for large-scale and Big Data environments.
• Build, optimize, and manage relational and NoSQL databases, ensuring high performance, reliability, and efficient query execution.
• Design and implement robust data models, schemas, and data storage architectures to support business and analytical requirements.
• Develop and maintain search and information retrieval solutions, including indexing pipelines, semantic search capabilities, metadata-driven search components, and relevance optimization.
• Design, implement, and support search APIs and data discovery services to enhance access to enterprise data assets.
• Build and maintain graph-based data solutions using technologies such as Neo4j or Cosmos DB Gremlin API to enable knowledge graph and entity relationship use cases.
• Develop data engineering solutions using Python, Scala, Spark, and modern cloud-native technologies within Azure and Databricks environments.
• Create and optimize ETL/ELT processes to ingest, transform, and deliver high-quality data from multiple sources.
• Collaborate with cross-functional stakeholders to understand business requirements and translate them into scalable technical data solutions.
• Analyze complex data challenges and proactively identify opportunities to improve data quality, discoverability, accessibility, and performance.
• Implement monitoring, troubleshooting, and performance tuning strategies for data platforms, databases, and search services.
• Support the development of reporting and analytics capabilities through integration with visualization and business intelligence tools such as Power BI.
• Participate in Agile ceremonies and contribute to iterative solution delivery, ensuring alignment with project objectives and timelines.
• Work closely with data scientists, analysts, product owners, and business users to deliver meaningful search and data discovery experiences.
• Establish and promote data engineering best practices, coding standards, documentation standards, and operational excellence.
• Drive continuous improvement initiatives across data management, search platforms, and information retrieval workflows.
• Ensure data governance, security, and compliance requirements are incorporated into all data engineering solutions.
• Mentor junior engineers and provide technical guidance on data architecture, search technologies, and engineering best practices.
• Communicate technical concepts, risks, and recommendations effectively to both technical and non-technical stakeholders in a global environment.
• Contribute to the strategic evolution of data platforms and search capabilities by evaluating and adopting emerging technologies and best practices.

Skills

Data engineering

SQL/NoSQL

Python/Scala/Spark

Search/IR concepts

Agile methodologies

Stakeholder communication

Tools

Azure

Databricks

Power BI

Neo4j

Cosmos DB

Job description

City: Krakow

Posting Start Date: 9/30/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future‑ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever‑changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Location: Kraków, Poland

Work Model:Hybrid – 3 days per week in the office

Requirements:

• Ideally 5+ years of experience as a Data Engineer, including exposure to large‑scale or Big Data environments
• strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
• hands‑on experience with search platforms or information retrieval technologies (indexing, ranking, text search, semantic search, metadata modeling, vector search, relevance tuning, etc.)
• knowledge of Graph Databases (e.g., Neo4j, Cosmos DB Gremlin API) and their application to knowledge graphs or entity‑relationship search
• strong programming skills in Python, Scala, Spark, and experience with Big Data tools such as Azure Cloud, Databricks, and PowerBI (or equivalents)
• experience designing or maintaining search APIs, indexing pipelines, or metadata‑driven search components
• good understanding of Agile methodologies and experience delivering incrementally within an Agile team
• strong communication and stakeholder‑management skills, with the ability to translate search‑related needs into technical solutions
• solid analytical, problem‑solving, and data‑management abilities
• proactive team player with flexibility, resilience, and the initiative to drive improvements across search and data‑discovery workflows
• strong interest in understanding business context to create meaningful and effective data search experiences
• fluent in English with excellent written and verbal communication skills, and the ability to work as part of a global team

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data processing solutions for large-scale and Big Data environments.
• Build, optimize, and manage relational and NoSQL databases, ensuring high performance, reliability, and efficient query execution.
• Design and implement robust data models, schemas, and data storage architectures to support business and analytical requirements.
• Develop and maintain search and information retrieval solutions, including indexing pipelines, semantic search capabilities, metadata‑driven search components, and relevance optimization.
• Design, implement, and support search APIs and data discovery services to enhance access to enterprise data assets.
• Build and maintain graph-based data solutions using technologies such as Neo4j or Cosmos DB Gremlin API to enable knowledge graph and entity relationship use cases.
• Develop data engineering solutions using Python, Scala, Spark, and modern cloud‑native technologies within Azure and Databricks environments.
• Create and optimize ETL/ELT processes to ingest, transform, and deliver high-quality data from multiple sources.
• Collaborate with cross‑functional stakeholders to understand business requirements and translate them into scalable technical data solutions.
• Analyze complex data challenges and proactively identify opportunities to improve data quality, discoverability, accessibility, and performance.
• Implement monitoring, troubleshooting, and performance tuning strategies for data platforms, databases, and search services.
• Support the development of reporting and analytics capabilities through integration with visualization and business intelligence tools such as Power BI.
• Participate in Agile ceremonies and contribute to iterative solution delivery, ensuring alignment with project objectives and timelines.
• Work closely with data scientists, analysts, product owners, and business users to deliver meaningful search and data discovery experiences.
• Establish and promote data engineering best practices, coding standards, documentation standards, and operational excellence.
• Drive continuous improvement initiatives across data management, search platforms, and information retrieval workflows.
• Ensure data governance, security, and compliance requirements are incorporated into all data engineering solutions.
• Mentor junior engineers and provide technical guidance on data architecture, search technologies, and engineering best practices.
• Communicate technical concepts, risks, and recommendations effectively to both technical and non-technical stakeholders in a global environment.
• Contribute to the strategic evolution of data platforms and search capabilities by evaluating and adopting emerging technologies and best practices.

Equal Opportunity Employer:

Wipro is an Equal Opportunity Employer. We provide consideration for all qualified applicants regardless of race, color, religion, gender, marital status, age, ethnicity, national origin, sexual orientation, political views, disability, or any other characteristic protected by law.

Internal Reporting and Whistleblower Protection:

Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Candidates can submit internal reports via email to [e-mail], through the Internet at www.wiproombuds.com , or by post/courier to Wipro's registered office.

Mandatory Skills: DataBricks - Data Engineering.Experience: 5-8 Years.Reinvent your world. We are an end‑to‑end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.