Senior Data Engineer

Net Talent; City of Edinburgh; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Staff Data Engineer to lead the design and implementation of critical data infrastructure. In this pivotal role, you will create scalable data systems and set architectural standards while collaborating with cross-functional teams. This position offers the chance to tackle complex technical challenges and advocate for engineering excellence. If you have a strong background in data engineering and are passionate about building customer-centric solutions, this opportunity is perfect for you. Join a dynamic team and make a significant impact in a forward-thinking environment.

Qualifications

• 8+ years of experience in data engineering with a focus on scalable systems.
• Strong expertise with modern data tools and frameworks.

Responsibilities

• Design and build scalable, reliable, and high-performance data systems.
• Define best practices for data modeling and ETL/ELT pipelines.

Skills

Data Engineering

SQL

Python

Data Modeling

ETL/ELT Pipelines

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Spark

dbt

Airflow

Kafka

Databricks

AWS

GCP

Azure

Terraform

Job description

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CEO and founder of Net Talent and People TalentExecutive SearchIT, Data, AI, Digital and HR RecruiterTalent PartnerCIPD/Associate

Location: Central belt Scotland - Hybrid 3 days on site

We working exclusively on an exciting opportunity for a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business functions across the company.

You’ll collaborate with engineers, product managers, and business stakeholders to architect performant, reliable, and long-term data solutions that are customer-centric and business-aligned.

What You’ll Do:

• Design and build scalable, reliable, and high-performance data systems.
• Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures.
• Set technical direction and architectural standards across the data platform.
• Work closely with cross-functional partners to meet evolving business and analytical needs.
• Own complex technical systems end-to-end, from concept to production.
• Advocate for engineering excellence and mentor other engineers on the team.

Technical Skills:

• 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
• Strong expertise with modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure).
• Deep understanding of data modeling, distributed systems, streaming architectures, and ETL/ELT pipelines.
• Proficiency in SQL and at least one programming language such as Python, Scala, or Java.
• Demonstrated experience owning and delivering complex systems from architecture through implementation.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience designing data platforms that support analytics, machine learning, and real-time operational workloads.
• Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR, HIPAA).
• Background in customer-centric or product-driven industries such as digital, eCommerce, or SaaS.
• Experience with infrastructure-as-code tools like Terraform and expertise in data observability and monitoring practices.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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