Senior Data Engineer (contract)

Krakow, Pol-07, PL

Actively hiring, first seen by us 7 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design 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 qualifications

Core 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

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Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 20267 days ago
Recorded sightings: 27
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Wipro is hiring

173 open jobs

Open jobs by the week we first saw them, last 12 weeks.

1% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Scala
SQL
Azure
Databricks
Neo4j
NoSQL
Power BI
Spark

Where the posting names them

- 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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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