Senior Data Engineer

Enso Recruitment; Belfast; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

A leading global organisation is seeking a Senior Data Engineer to enhance their data team. The role involves developing scalable data solutions, optimising data pipelines, and collaborating with cross-functional teams. Ideal candidates will have strong experience in data engineering and programming, particularly in Azure environments. This position offers flexible working and a competitive salary.

Benefits

Flexible working arrangements

Competitive salary and benefits package

Ongoing training and career development opportunities

Collaborative and inclusive team environment

Qualifications

• Proven experience in Data Engineering or Software Engineering with a strong data focus.
• Proficient in at least one programming language (e.g. Python, Java, Go).
• Cloud experience (preferably Azure).

Responsibilities

• Develop and optimise robust data solutions using various tools.
• Collaborate with teams to translate business needs into data architecture.
• Design and manage data pipelines ensuring performance and scalability.

Skills

Problem-Solving

Collaboration

Tools

Snowflake

dbt

Fivetran

Azure Cloud

SQL

Python

Azure DevOps

GitHub

Job description

This range is provided by Enso Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Enso Recruitment

Connecting organisations with the talented Cyber Security and Tech talent needed for their teams | Principal Recruitment Consultant @ Enso…

Enso Recruitment is hiring on behalf of a fast-paced and forward-thinking global organisation that is on the lookout for a Senior Data Engineer to join their data team. This individual will help drive innovation by building and refining scalable data solutions that support a wide range of business operations.

The successful candidate will work with a global team of software developers, analysts, and data scientists, playing a crucial role in developing and optimising data pipelines and infrastructure to ensure efficient data flow across the business.

Key Responsibilities

• Develop, support and optimise robust data solutions using tools like Snowflake, dbt, Fivetran, and Azure Cloud services
• Collaborate with cross-functional teams to translate business needs into actionable data architecture
• Design and manage data pipelines and integration workflows, ensuring performance and scalability
• Engage in the full development lifecycle using DevOps and Agile methodologies
• Write and maintain complex SQL queries and Python scripts for data processing and transformation
• Provide guidance on best practices for integrating enterprise systems such as ERP, CRM, and HR platforms
• Support deployment, monitoring, and troubleshooting of data infrastructure and services

Skills & Experience Required

• Proven experience in a Data Engineering or Software Engineering role with a strong data focus
• Proficient in at least one programming language (e.g. Python, Java, Go)
• Cloud experience (preferably Azure, though AWS or GCP also valuable)
• Solid grasp of SQL and experience handling large data sets
• Familiarity with ETL tools such as Fivetran and Azure Data Factory
• Experience with modern data pipeline design and stream processing
• Understanding of CI/CD pipelines and experience with tools like Azure DevOps or GitHub/GitLab
• Strong problem-solving ability and collaborative working style

What’s on Offer

This is a chance to be part of a forward-thinking business with a strong emphasis on technology and innovation. Benefits include:

• Flexible working arrangements (remote/hybrid)
• Competitive salary and benefits package
• Ongoing training and career development opportunities
• Collaborative and inclusive team environment

If you're a data enthusiast who thrives in a fast-paced setting and loves building data systems from the ground up, we’d love to hear from you.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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