Data Engineer

Sphere Digital Recruitment
Greater London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Encodings Extract Transform Load (ETL) Data Transformation Data Warehousing TypeScript Google Cloud Sql Optimization ReactJS
+2 more
Front End Software Development Programming Languages

Job description

This position focuses on designing and building technical solutions that improve efficiency, performance, and innovation for both clients and internal teams. You’ll take ownership of solutions from concept through to delivery, creating automation, platforms, and tools that make a tangible impact., You’ll collaborate closely with senior stakeholders across the business and occasionally develop bespoke solutions for large, well-known clients operating in sectors such as finance, travel, and online retail., * Designing, building, and delivering internal and client-facing tools, applications, scripts, and platforms used by delivery teams on a daily basis

  • Identifying opportunities for innovation and selecting appropriate technologies, frameworks, and architectures
  • Defining and promoting engineering best practices, including testing, documentation, deployment, and monitoring
  • Contributing to the ongoing development of proprietary media and analytics platforms
  • Building cloud-based solutions that integrate multiple data sources via internal and external APIs
  • Helping shape the technical roadmap and proposing new ideas and capabilities

Requirements

Technical experience

  • Experience delivering internal products in fast-moving environments
  • Strong background in cloud platforms (experience with GCP, Azure and AWS)
  • Proficiency in one or more modern programming languages such as JavaScript and TypeScript
  • Practical experience embedding AI into workflows, including agent-based frameworks, prompt/context design, and evaluation tooling
  • Ability to build clear, effective data visualisations using modern BI or dashboarding tools
  • Hands-on experience with data warehousing solutions (e.g. BigQuery or equivalents)
  • Advanced SQL skills for querying and transforming data
  • Experience designing and deploying automated systems and workflows
  • Familiarity with modern front-end frameworks (such as React)
  • Exposure to ETL/ELT processes and tools is a plus

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:21 min

Exploring the target application for front end tests

Anna Mcdougall ¡ JS Congress

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

3:17 min

Optimizing character encoding with Kim variable byte encoding

Douglas Crockford Douglas Crockford ¡ World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall ¡ JS Congress

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

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