Senior Data Engineer (contract)
Krakow, Pol-07, PL
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and maintain scalable data pipelines for large-scale and Big Data environments
Develop search, indexing pipelines and semantic search capabilities
Build and maintain graph-based data solutions with Neo4j or Cosmos DB
Create and optimize ETL/ELT processes from multiple data sources
Mentor junior engineers and set data engineering best practices
From the employer’s posting
Design, develop, and maintain scalable data pipelines and data processing solutions for large-scale and Big Data environments.
Develop and maintain search and information retrieval solutions, including indexing pipelines, semantic search capabilities
Build and maintain graph-based data solutions using technologies such as Neo4j or Cosmos DB Gremlin API
Create and optimize ETL/ELT processes to ingest, transform, and deliver high-quality data from multiple sources.
Mentor junior engineers and provide technical guidance on data architecture, search technologies, and engineering best practices.
What you’ll bring
All qualificationsCore experience
- strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
- knowledge of Graph Databases (e.g., Neo4j, Cosmos DB Gremlin API) and their application to knowledge graphs or entity‑relationship search
- 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
Qualification wording
strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
knowledge of Graph Databases (e.g., Neo4j, Cosmos DB Gremlin API) and their application to knowledge graphs or entity‑relationship search
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
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Neo4j
- NoSQL
- Power BI
- Spark
Source — Tool mentions in context
- 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
- 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.
- 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.)
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 ombuds.person@wipro.com, 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 .
- 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)
- 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.
- 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.
- 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.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 1 day ago
- Recorded sightings
- 15
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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
Location: Kraków, Poland
Work Model: Hybrid – 3 days per week in the office
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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
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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.
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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 ombuds.person@wipro.com, 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 building a modern Wipro. 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.
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- Location & working pattern
Krakow, Pol-07, PL
Location: Kraków, Poland Work Model: Hybrid – 3 days per week in the office ͏
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