01
TRCI-26-06870
Data Engineer
This is a contract Data Engineer role building and maintaining scalable batch and streaming data pipelines in cloud data environments. The core requirements are 3+ years of production data engineering experience, strong SQL and Python, distributed processing with Databricks and PySpark, and experience with a modern cloud data platform and transformation or orchestration tools. The role also calls for data modeling, Git-based CI/CD, and attention to data quality, reliability, monitoring, governance, and security. Experience with medallion architecture and collaboration with ontology, knowledge graph, or data science teams is relevant to the product context. The structured experience range is 3–5 years and aligns with the description’s 3+ year minimum; the location is Europe, while work mode is not specified.
Position summary
- Location
- Europe
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 3 years and Maximum 5 years
Role overview
Why This Role Matters.
This is a contract Data Engineer role building and maintaining scalable batch and streaming data pipelines in cloud data environments. The core requirements are 3+ years of production data engineering experience, strong SQL and Python, distributed processing with Databricks and PySpark, and experience with a modern cloud data platform and transformation or orchestration tools. The role also calls for data modeling, Git-based CI/CD, and attention to data quality, reliability, monitoring, governance, and security. Experience with medallion architecture and collaboration with ontology, knowledge graph, or data science teams is relevant to the product context. The structured experience range is 3–5 years and aligns with the description’s 3+ year minimum; the location is Europe, while work mode is not specified.
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.
02
Transform raw structured and semi-structured data into clean, curated analytical models (medallion architecture: Bronze/Silver/Gold) using SQL, Python, and dbt.
03
Implement automated data quality checks, schema validation, logging, and pipeline observability.
04
Collaborate closely with Ontology, Knowledge Graph, and Data Science teams to prepare reliable datasets for downstream graph ingestion and ML feature stores.
05
Enforce data governance, lineage, and security standards (role-based access control, PII handling, GDPR compliance).
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
SQL
Required
02
Python
Required
03
PySpark
Required
04
Apache Spark
Required
05
Databricks
Required
06
Snowflake
Required
07
AWS
Required
08
Amazon Web Services
Required
09
Azure
Required
10
Microsoft Azure
Required
11
dbt
Required
12
Apache Airflow
Required
13
Databricks Workflows
Required
14
ETL
Required
15
ELT
Required
16
batch processing
Required
17
streaming data
Required
18
medallion architecture
Required
19
Bronze Silver Gold
Required
20
lakehouse
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
3+ years of hands-on production data engineering and pipeline development
Design and maintenance of scalable batch and streaming ETL/ELT pipelines
Strong SQL proficiency
Strong Python proficiency
Distributed data processing using Databricks and PySpark
Hands-on experience with at least one of Databricks, Snowflake, AWS, or Azure
Experience with at least one transformation or orchestration tool: dbt, Apache Airflow, or Databricks Workflows
Data modeling, including dimensional modeling and lakehouse architecture
Git and CI/CD best practices
Data quality, reliability, performance tuning, and pipeline monitoring
Data governance and security, including role-based access control, PII handling, and GDPR compliance
Preferred
Nice to Have
Medallion architecture using Bronze, Silver, and Gold layers
Schema validation, logging, and pipeline observability
Preparing datasets for ontology or knowledge graph ingestion
Preparing data for machine learning feature stores
Experience across multiple listed platforms or orchestration tools
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
One page, about two minutes. We only ask for what we actually need to have a first conversation.