Senior Data Engineer

Role Overview

We have an exciting opportunity for a Senior Data Engineer to join our growing Data Platform and Solutions team. The successful applicant will work alongside our architects and consultants to deliver high quality data solutions (predominantly Azure-based) to help our customers become more successful in delivering the insight to maximise and scale automated decision making.

Successful candidates can be based out of either of our Glasgow or Reading office, on a Hybrid working model.

• Understand customer requirements and work collaboratively to design data solutions that deliver high quality outcomes.
• Enable higher quality data to be created & managed in our customers organisations.
• Develop high quality data products utilising (primarily) cloud native patterns.
• Engineer cloud-based data lake patterns to connect and leverage organisational & external data.
• Provide technical support and guidance through prototyping, testing, build, and launch of data products.
• Contribute towards the creation of technical support and design documentation for data platforms and solutions.
• Contribute to continually refining our development standards and best practices.

• Strong technical expertise using core Microsoft Azure data technologies:
  Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, Purview.
• A strong background in Python development (for data engineering) and SQL.
• Proficient with Azure databases such as Synapse EDW, SQL Managed Instance, and Azure SQL.
• Skilled in Dev Ops (CI/CD) implementations. Including IaC deployments (Bicep, Terraform, etc.).
• Adept at team collaboration and task tracking with Azure Dev Ops, adhering to Scrum/Agile methodologies.

• C# development skills.
• Azure services used for infrastructure build and monitoring (ARM, Policy, Monitor, Log Analytics etc.).
• Implementation of big data/analytics services.
• Supporting AI/Machine Learning workflows at production-level scale.
• No
  
  SQL databases such as Cosmos DB or Mongo DB.
• Knowledge of Microsoft Fabric and its requisite platform components, as well as monitoring, security and governance configuration within the platform.
• Experience in working with Power BI, including Power Query, DAX, and Power BI Service.

• Strong alignment with FSP values and ethos.
• Commitment to teamwork, quality and mutual success.
• Proactivity with an ability to operate with pace and energy.
• Strong communication and interpersonal skills.
• Dedication to excellence and quality.

FSP is a leading consultancy specialising in Digital, Security and AI solutions. Our success is enabled by our unwavering commitment to excellence, our people centric culture alongside best-in-class operations, ensuring impactful and sustainable outcomes for our clients.

As a long standing and highly accredited Microsoft Partner, with extensive solution designations, we partner with clients across a range of commercial sectors, enabling digital transformation, innovation and robust cyber security.

We navigate the complexities of data sensitivity, confidentiality, governance and compliance. We blend strategic insight, depth of technical expertise, delivery and operational excellence to meet the specific requirements outlined.

We take a collaborative, one team approach with our clients to drive sustainable change, providing outstanding client experience and delivering exceptional results that are aligned with business priorities.

Our commitment to security and quality is reinforced by our ISO
27001 and ISO
9001 certifications (UKAS), as well as our CREST approved penetration testing and SOC capabilities. Additionally, we are an IASME Cyber Essentials Certification Body and Cyber Essentials Plus certified.

Find out more about our accolades here:

At FSP, we are committed to providing:

• A collaborative and supportive environment in which you can grow and develop your career.
• The tools and opportunity to do work you can be proud of.
• A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience.
• Hybrid working –…