Data Engineer, Consultant

Role Overview

• Support the Data Engineering aspects of the design and development of Squarcle’s product and platform by implementing data pipelines for multiple sources, formats, and frequencies (e.g. streaming, batched, API, unstructured, etc).
• Extraction, Transformation and Loading of data sets.
• Build and maintain data pipelines and automation for data collection and analysis.
• Apply and develop knowledge of modern data engineering tooling to deliver robust, scalable solutions.
• Collaborate with product owners, infrastructure engineers, data scientists, front-end engineers and UI/UX consultants to deliver coherent and sustainable outputs for client and internal projects.
• Support senior colleagues in engaging with client stakeholders, contributing to understanding of business problems, technology, digital maturity, data sources, access protocols and security requirements.
• Contribute to project plans, designs and prototype solutions to demonstrate early benefit and value.
• Contribute to discussions and discovery workshops to understand the As-Is state and any existing digital change activity already underway.
• Work in an Agile manner, collaborating closely with clients and colleagues to iteratively refine and deliver the solution within the Discovery – Alpha – Beta – Live delivery model aligned to GDS standards.
• Engage with appropriate Agile ceremonies, ensuring necessary information (e.g. progress, releases, risks, issues) is shared with the product owner, project manager and other stakeholders.
• Work effectively in diverse teams within an inclusive team culture.
• Contribute ideas and feedback to help develop the company’s Technology and Digital capabilities.
• Ensure code, pipelines and documentation follow best practice standards.

Requirements

• Demonstrable experience in data engineering, including creating robust data pipelines for streamed, batched and on-demand data sources.
• Strong data modelling and analysis skills.
• Cloud and platform experience (Azure centric, strong understanding of Azure data services; Azure data factory etc.)
• Strong understanding of API based integrations. Experience with integrating to SaaS platforms.
• Strong SQL experience.
• Strong problem-solving skills with an analytical and curious mindset, and a willingness to learn innovative approaches from senior colleagues.
• Experience assisting in the design and delivery of data and digital solutions, contributing to solving business problems and creating value for clients.
• A growth mindset, motivated by challenge and keen to learn from senior colleagues and project experiences.
• Good interpersonal and communication skills, both written and verbal.
• Aptitude to grasp new concepts and rapidly produce results.
• Ability to contribute effectively within a team, with increasing independence as experience grows.
• Intellectual curiosity, commitment to delivering excellent client service, and a strong work ethic.
• A team player dedicated to contributing toward the outcome desired by the team.
• Ability to adapt to rapidly changing circumstances and contribute to creative solutions in collaboration with senior colleagues.
• Successful candidates must meet the security requirements before they can be appointed. The level of security needed is a security check.

Tech Stack

• Azure
• Cloud
• SQL

Benefits

• Generous leave package 26 days of annual leave (including your birthday!) plus UK bank holidays — increasing to 27 days after three years, and 28 after seven years
• You’ll also get five extra days for your five and 10-year anniversaries
• Additional leave for members of the Reserve Forces and CFAV.
• Private medical insurance provided once you’ve completed your probation.
• £1,000 referral bonus for successful hires
• Performance-related awards
• Milestone and life-event hampers to celebrate life’s big moments
• Annual training week abroad
• Funding for qualifications that benefit both you and the business
• Cycle to work scheme
• Discounted travel through funded railcards
• Pension provider is NOW Pensions, pension contributions are 3% employer and 5% employee.