TRCI-26-04529

Data Engineer (Search / Information Retrieval)

Contract Data Engineer role in Krakow for a candidate with 5+ years’ experience building data solutions in large-scale/Big Data environments. The focus is on search and information retrieval: designing indexing pipelines and search APIs, working with SQL/relational and NoSQL databases, and applying relevance concepts (ranking, semantic/vector search, metadata modeling). Strong hands-on skills in Python/Scala/Spark and Big Data tooling (Azure, Databricks, Power BI or equivalents) are required, plus knowledge of graph databases (Neo4j or Cosmos DB Gremlin) for knowledge graphs/entity-relationship search. The role operates in an Agile, global team and requires strong communication and stakeholder management.

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Position summary

Location: Poland
Workplace: Hybrid
Employment: Contract
Experience: Minimum 5 years and Maximum 5 years

Apply now

Role overview

Why This Role Matters.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

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

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

SQL

Required

RDBMS

Required

NoSQL

Required

query optimization

Required

schema design

Required

information retrieval

Required

search platform

Required

indexing

Required

ranking

Required

text search

Required

semantic search

Required

vector search

Required

relevance tuning

Required

metadata modeling

Required

search API

Required

indexing pipeline

Required

knowledge graph

Required

entity relationship search

Required

graph database

Required

Neo4j

Required

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

5+ years experience as a Data Engineer

Large-scale/Big Data environment exposure

Strong SQL skills

Relational database systems

NoSQL database systems

Query optimization

Schema design

Search platforms / information retrieval (indexing, ranking, text search, semantic search, metadata modeling, vector search, relevance tuning)

Graph databases (e.g., Neo4j, Cosmos DB Gremlin API)

Knowledge graphs / entity-relationship search concepts

Programming: Python

Programming: Scala

Apache Spark

Azure Cloud

Databricks

Designing/maintaining search APIs

Designing/maintaining indexing pipelines

Designing/maintaining metadata-driven search components

Agile methodologies

English fluency (written and verbal)

Preferred

Nice to Have

Power BI (or equivalents)

Experience with data discovery workflows improvement

Business context understanding for search experiences

Global/distributed team collaboration

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

Apply for Data Engineer (Search / Information Retrieval)

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