Ubique Systems

TRCI-26-06776

Tech Lead / Data Engineering

This contract role will lead the architecture and delivery of a scalable Snowflake data platform, including standards, pipelines, governance, and DataOps. The core requirements are hands-on Snowflake, data warehousing and modeling, advanced SQL, dbt-based ETL/ELT, data architecture, CI/CD, and AWS, alongside technical leadership and stakeholder collaboration. Airflow, lakehouse experience, Tableau or Power BI, and pharmaceutical or healthcare experience are preferred. The structured experience band is 6–8 years, and the location is Europe; the work mode is not specified. Clinical stakeholders and pharma-specific standards indicate a pharmaceutical or healthcare data context, although prior experience in that domain is preferred rather than mandatory.

Position summary

Location
Europe
Workplace
Hybrid
Employment
Contract
Experience
Minimum 6 years and Maximum 8 years
Apply now

Role overview

Why This Role Matters.

This contract role will lead the architecture and delivery of a scalable Snowflake data platform, including standards, pipelines, governance, and DataOps. The core requirements are hands-on Snowflake, data warehousing and modeling, advanced SQL, dbt-based ETL/ELT, data architecture, CI/CD, and AWS, alongside technical leadership and stakeholder collaboration. Airflow, lakehouse experience, Tableau or Power BI, and pharmaceutical or healthcare experience are preferred. The structured experience band is 6–8 years, and the location is Europe; the work mode is not specified. Clinical stakeholders and pharma-specific standards indicate a pharmaceutical or healthcare data context, although prior experience in that domain is preferred rather than mandatory.

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.

01

Define and enforce data architecture standards, including modeling, naming conventions, and best practices.

02

Design and implement robust ETL/ELT pipelines using DBT and cloud-native tools.

03

Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions.

04

Drive data governance, lineage, cataloging, and quality frameworks across the platform.

05

Ensure compliance with European data regulations (e.g., GDPR) and pharma-specific standards.

06

Implement CI/CD pipelines and DataOps practices for automated testing, deployment, and monitoring of data workflows.

07

Optimize Snowflake performance, including query tuning, clustering, and cost management.

08

Provide technical leadership, architectural guidance, and mentorship to engineering teams.

09

Evaluate emerging tools and technologies to continuously improve the data ecosystem.

10

Work closely with DevOps and infrastructure teams to ensure high availability, scalability, and security.

11

Deep understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas).

12

Advanced proficiency in SQL and complex query optimization.

Technology stack

Tools & Technologies.

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

01

Snowflake

02

SQL

03

dbt

04

ETL

05

ELT

06

AWS

07

Git

08

Jenkins

09

GitHub Actions

10

Azure DevOps

11

Apache Airflow

12

Tableau

13

Power BI

14

dimensional modeling

15

star schema

16

snowflake schema

17

data lineage

18

data catalog

19

data quality

20

DataOps

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

Hands-on Snowflake data warehousing, performance tuning, security, and cost optimization

Data warehousing concepts, including dimensional modeling and star or snowflake schemas

Advanced SQL and complex query optimization

ETL/ELT development, especially with dbt

Data architecture and distributed data systems design

CI/CD pipelines and tools such as Git, Jenkins, GitHub Actions, or Azure DevOps

AWS cloud platform experience

Data governance, lineage, cataloging, and data quality frameworks

Technical leadership, architecture guidance, and team mentorship

Stakeholder management and communication across business and technical teams

Preferred

Nice to Have

Apache Airflow or similar orchestration tools

Data lake or lakehouse architectures

Tableau or Power BI

Pharmaceutical or healthcare data experience, including clinical, R&D, or commercial data

Agile or Scrum experience

Familiarity with European data regulations such as GDPR and pharma-specific standards

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 Tech Lead / Data Engineering

One page, about two minutes. We only ask for what we actually need to have a first conversation.

Your CV

Optional. A line or two is plenty.