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You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

No. Your resume and application data are processed only to run the service for you, matching, drafting, and submitting applications. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Senior Data Engineer (contract) at Wipro, Krakow

Senior Data Engineer (contract) at Wipro in Krakow. Contract. Est. up to $300k. Apply with swipeandhired.

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 [email protected], through the Internet at www.wiproombuds.com , or by post/courier to Wipro's registered office.