Ubique Systems

TRCI-26-04787

Data Engineer (Contract)

Contract Data Engineer needed in London (10–15 years) to design, build, test, and maintain database and large-scale data processing architectures. The role focuses on optimizing data systems and pipeline architecture, establishing processes for data mining/modeling/production, and integrating data across systems using SQL/NoSQL and Python/Java/Scala, with workflow/pipeline tooling. Cloud (AWS/GCP/Azure), big data/streaming (Hadoop/Spark/Kafka), ETL/integration tools, data warehousing, governance, and Agile are preferred.

Position summary

Location
United Kingdom
Workplace
Hybrid
Employment
Contract
Experience
Minimum 10 years and Maximum 15 years
Apply now

Role overview

Why This Role Matters.

Contract Data Engineer needed in London (10–15 years) to design, build, test, and maintain database and large-scale data processing architectures. The role focuses on optimizing data systems and pipeline architecture, establishing processes for data mining/modeling/production, and integrating data across systems using SQL/NoSQL and Python/Java/Scala, with workflow/pipeline tooling. Cloud (AWS/GCP/Azure), big data/streaming (Hadoop/Spark/Kafka), ETL/integration tools, data warehousing, governance, and Agile are preferred.

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

Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.

02

Discover opportunities for data acquisition and new uses for existing data.

03

Develop data set processes for data modeling, mining, and production.

04

Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.

05

Proficiency in SQL and NoSQL databases.

06

Strong knowledge of Python, Java, or Scala.

07

Experience with data pipeline and workflow management tools.

08

The candidate must have a Bachelor's degree in Computer Science, Software Engineering, or a related field. A Master's degree or further education in Data Science or a related field is preferred.

Technology stack

Tools & Technologies.

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

01

SQL

02

NoSQL

03

Python

04

Java

05

Scala

06

data pipelines

07

workflow management

08

AWS

09

Google Cloud

10

GCP

11

Azure

12

Hadoop

13

Spark

14

Kafka

15

Informatica

16

Talend

17

ETL

18

data warehousing

19

Tableau

20

Power BI

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

SQL

NoSQL databases

Programming in Python and/or Java and/or Scala

Data pipeline and workflow management tools

Database architecture development, testing, and maintenance

Data modeling, data mining, and data production processes

Ability to integrate data across systems (data acquisition/integration)

Preferred

Nice to Have

Cloud services (AWS or Google Cloud or Azure)

Big data tools (Hadoop, Spark, Kafka)

Data integration tools (Informatica, Talend)

Machine learning algorithms and statistics (basic understanding)

Data visualization tools (Tableau, Power BI)

Data warehousing solutions

ETL tools

Data architecture and data modeling techniques

Stream-processing systems (Storm, Spark Streaming)

Agile/Scrum methodologies

Data privacy and governance

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.

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