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Senior Data Engineer

Robert Walters UK

England

On-site

GBP 60,000 - 70,000

Full time

26 days ago

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Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative team. This exciting role involves leveraging your extensive experience in data engineering to deliver high-performance solutions within Microsoft Azure. You will collaborate with clients and stakeholders, mentor junior team members, and contribute to the growth of the consulting practice. With a focus on modern data technologies, you will drive business value through insightful data solutions. If you are passionate about data engineering and eager to make an impact, this opportunity is perfect for you.

Benefits

Accelerated career progression
Dynamic culture
Expert training

Qualifications

  • Extensive experience in designing data solutions using Azure Data Factory and Synapse.
  • Proficiency in SQL and Python with hands-on expertise in relational databases.

Responsibilities

  • Deliver high-quality data engineering solutions and mentor junior team members.
  • Build strong relationships with clients and collaborate with stakeholders.

Skills

Data Engineering
Microsoft Azure
SQL
Python
Agile
DevOps
Data Modeling
Business Intelligence (BI)
Microservices
Data Warehousing

Tools

Azure Data Factory
Azure Synapse
Spark
Kafka
Snowflake
Git

Job description

Senior Data Engineer £60,000-£70,000

Location: Remote - England Based

I am delighted to be partnering with a leading consultancy, they have some exciting projects coming available and will be looking for someone technically strong, with a commercial mindset. This role will be predominantly remote, with occasional travel to site when clients request.

As a Senior Data Engineer, you will:

  • Bring a broad skill set in data engineering, with a strong track record of delivering solutions within Microsoft Azure.
  • Build strong working relationships with clients and collaborate effectively with both business and technical stakeholders.
  • Leverage your experience in data engineering to develop high-performance, end-to-end solutions in a team-oriented environment.
  • Deliver high-quality work, proactively identifying and escalating challenges to clients or senior team members while proposing effective solutions.
  • Contribute to the growth of the Consulting practice by participating in knowledge-sharing initiatives and enhancing data services.
  • Demonstrate success in delivering commercial projects using modern data technologies.
  • Provide mentorship and guidance to junior team members, reviewing their work and ensuring alignment with project and organisational goals.

As Senior Data Engineer, you will have:

  • Extensive experience in designing and implementing data solutions using Azure Data Factory, Azure Synapse, or Fabric.
  • Proficiency in SQL and Python with hands-on expertise in working with relational SQL databases, both on-premises and in the cloud.
  • Proven ability to deliver multiple data solutions, leveraging key methodologies such as Governance, Architecture, Data Modeling, ETL/ELT, Data Lakes, Data Warehousing, Master Data Management, and Business Intelligence (BI).
  • Strong understanding of engineering delivery processes, including Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipelines.
  • Experience working with Spark, Kafka, or Snowflake.
  • Skilled in providing insightful data solutions that drive business value.
  • Confident in engaging with senior stakeholders and contributing effectively to meetings.
  • A strong team player, committed to supporting and sharing knowledge with colleagues.
  • A track record of delivering accurate, high-quality output while taking responsibility for key project elements.
  • Awareness of industry standards, regulations, and emerging trends in data engineering.

About the job

Contract Type: FULL_TIME

Specialism: Information Technology

Focus: Databases

Workplace Type: Remote

Experience Level: Senior Management

Industry: Consultancy

Salary: £60,000 - £70,000 per annum

Job Reference: QGGVY5-A834638F

Date posted: 1 April 2025

Consultant: Ayden Bogle

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