WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Engineer

Copello Global
Southampton, UK
about 2 months ago
Apply on find.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
find.jobs

Tech stack

Clean Code Principles Java (Programming Language) Agile Methodology Amazon Web Services Big Data Continuous Integration Data Integration Extract Transform Load (ETL) Apache Hadoop Python (Programming Language) Apache Spark Build Management
+4 more
Containerization Apache Nifi Data Management Data Pipelines

Job description

  • Design and build data pipelines and ingestion processes
  • Develop scalable data integration and processing solutions
  • Optimise data platforms for performance and reliability
  • Collaborate with Agile teams to deliver secure, high-quality solutions
  • Write clean, tested, maintainable code

Requirements

  • Experience with Apache Spark, Hadoop or similar big data technologies
  • AWS
  • Apache NiFi
  • Python or Java
  • Experience building data pipelines and ETL processes

Desirable:

  • CI/CD, Infrastructure as Code
  • Container technologies
  • Experience working in secure or regulated environments

Security Requirement: Applicants must be eligible to obtain UK Developed Vetting (DV) security clearance.

About the company

Copello are looking for an experienced Data Engineer to join a growing team delivering data solutions within secure government environments.

You’ll design and develop scalable data pipelines, integrate data from multiple sources, and build high-performance data platforms that support analytics and operational decision-making.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy ¡ LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy ¡ LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon ¡ World Congress 2026 Europe

2:10 min

Why organizations combine big data and machine learning

Ayon Roy ¡ LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 ¡ World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt ¡ LIVE

Videos

See all
PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Implementing continuous delivery in a data processing pipeline thumbnail
34:00
LIVE • almost 6 years ago

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Related articles

See all