Senior Data Engineer

Harnham; London; Hybrid; GBP 70,000 - 82,000; Full time

Job summary

A forward-thinking technology company is seeking a Senior Data Engineer to enhance its data infrastructure in a flexible hybrid working model. The position involves managing data ingestion and ensuring dataset quality, with opportunities for professional growth and a competitive salary up to £82,000 depending on experience.

Benefits

Generous holiday allowance

Flexible working options

Private medical insurance

Pension scheme

Cycle-to-work scheme

Death-in-service insurance

Enhanced sick pay

Qualifications

• Extensive experience in Data Engineering, focusing on Azure, Databricks, and Delta Lake.
• Proficiency in Kubernetes, Infrastructure as Code, and Terraform.
• Expertise in Azure DevOps.

Responsibilities

• Enhancing the reliability and stability of data infrastructure.
• Managing data ingestion pipelines using Azure Data Factory and Python.
• Deploying and managing data tools on Kubernetes.

Skills

Data Engineering

Azure

Kubernetes

Infrastructure as Code

DevOps

Tools

Azure Data Factory

Terraform

Job description

This range is provided by Harnham. 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 Harnham

Building Data, DevOps and Software Engineering teams across the UK | The Talent Driving The Data and AI Revolution

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Company
We are a forward-thinking technology company dedicated to simplifying complex processes through innovative solutions. With a focus on enhancing efficiency and transparency, we strive to deliver outstanding experiences for our customers. Our team operates with a flexible hybrid working model, fostering collaboration and innovation in a supportive environment.

Responsibilities
As a Senior Data Engineer, you'll play a pivotal role in advancing our data infrastructure to support our expanding scope and responsibilities. Key responsibilities include:

• Enhancing the reliability and stability of our data infrastructure.
• Managing data ingestion pipelines using tools such as Azure Data Factory (ADF) and Python.
• Ensuring the quality of raw datasets to empower Data Analysts in creating robust data models.
• Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect).
• Supporting Data Analytics through the management of DBT, DevOps, and deployment rules.

You will have the opportunity to work end-to-end, making meaningful contributions within a small, agile team.

Experience
We're looking for candidates with:

• Extensive experience in Data Engineering with a focus on Azure, Databricks, and Delta Lake.
• Proficiency in Kubernetes, Infrastructure as Code, and Terraform.
• Expertise in Azure DevOps and a commitment to best practices.
• A preference for simple, transparent solutions and a drive for innovation.

Your ability to deliver reliable, scalable solutions while working in a fast-paced, collaborative environment will be key to success in this role.

Benefits
We believe in supporting our employees' well-being and professional growth with:

• Competitive salary, with a package up to £82,000 depending on experience.
• Generous holiday allowance and flexible working options.
• Private medical insurance, pension scheme, and cycle-to-work scheme.
• Death-in-service insurance and enhanced sick pay.
• Opportunities for career development through a structured performance management program.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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