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puestos de E Commerce en Gran Bretaña

Lead Data Engineer

FanDuel

City of Edinburgh
Presencial
GBP 75.000 - 95.000
Hace 30+ días
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ERP Systems Support Specialist

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St Albans
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GBP 45.000
Hace 30+ días

Senior Influencer Executive- Myprotein France

THG

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GBP 30.000 - 50.000
Hace 30+ días

France Senior Influencer Marketing Lead

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GBP 30.000 - 50.000
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Field Service Technician

Pig Improvement Company

Pudsey
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GBP 40.000 - 49.000
Hace 30+ días
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Influencer Executive- Myprotein Germany

THG

Mánchester
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GBP 80.000 - 100.000
Hace 30+ días

Sales Assistant

www.findapprenticeship.service.gov.uk - Jobboard

Bourne
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GBP 40.000 - 60.000
Hace 30+ días

Back End Developer

The Big Phone Store

Wolverhampton
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GBP 80.000 - 100.000
Hace 30+ días
HeadhuntersEntra en contacto con cazatalentos para acceder a vacantes similares

Remote Laravel Backend Engineer — Build Scalable APIs

The Big Phone Store

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GBP 80.000 - 100.000
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Import Merchandiser

Michael Page

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GBP 25.000 - 35.000
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Assistant Merchandiser

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Bury
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GBP 25.000 - 30.000
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Arch Capital Group

Mánchester
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GBP 60.000 - 80.000
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Ecommerce Operations Assistant

Covetrus

Dumfries
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GBP 20.000 - 30.000
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Marketing Assistant

ProDriven Global Brands

Burton-on-Trent
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Senior Global Client Partner at Retail Media

Grey Matter Recruitment

Gran Bretaña
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GBP 200.000 - 250.000
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Senior Sales Director at Retail Media Platform

Grey Matter Recruitment

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Techwaka

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Financial Controller

Sharp Consultancy

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Assistant Store Manager | Lookfantastic

THG

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GBP 25.000 - 35.000
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Zerto Sales Manager

Hewlett Packard Enterprise

Mánchester
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GBP 60.000 - 80.000
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Product Marketing Lead

Narvar

Norteamérica
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USD 165.000 - 210.000
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Store Manager | Lookfantastic

THG

Bristol
Presencial
GBP 25.000 - 35.000
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Customer Care Advisor - Dutch Speaking

VF CORPORATION

Nottingham
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GBP 26.000
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Solution Architect

Narvar

Norteamérica
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USD 140.000 - 180.000
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Enterprise Account Executive

Narvar

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USD 150.000 - 160.000
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Empresas destacadas:

Empleos en KfcEmpleos en SantanderEmpleos en UpsEmpleos en AudiEmpleos en UberEmpleos en NtsEmpleos en PolestarEmpleos en ScsEmpleos en CanvaEmpleos en Bosch

Ciudades destacadas:

Trabajos en LeicesterTrabajos en CambridgeTrabajos en BradfordTrabajos en PlymouthTrabajos en WarringtonTrabajos en DoncasterTrabajos en StockportTrabajos en SunderlandTrabajos en HuddersfieldTrabajos en Gateshead

Vacantes parecidas:

Puestos: Work From HomePuestos: WarehousePuestos: Part TimePuestos: Customer Care AdvisorPuestos: RemotePuestos: Business AnalystPuestos: Project MangerPuestos: Software DeveloperPuestos: Finance ManagerPuestos: Support Worker
Lead Data Engineer
FanDuel
City of Edinburgh
Presencial
GBP 75.000 - 95.000
Jornada completa
Hace 30+ días

Descripción de la vacante

A leading sports entertainment company in Edinburgh is seeking a Lead Data Engineer to drive the technical design of data infrastructure. You will establish scalable systems, lead engineering best practices, and collaborate with cross-functional teams to enhance data solutions. The ideal candidate has over 8 years of experience and expertise in modern data tools such as Spark and Kafka. This role offers an inclusive and innovative work culture along with a competitive financial package.

Servicios

Competitive salary
Bonus opportunities
Flexible working policy
Private healthcare

Formación

  • 8+ years of experience in data engineering or related field.
  • Expertise in modern data tools and cloud-native services.
  • Experience owning complex technical systems end-to-end.

Responsabilidades

  • Design and implement scalable data pipelines and architectures.
  • Collaborate with stakeholders to translate business requirements into data solutions.
  • Establish engineering best practices for code quality and documentation.

Conocimientos

Data engineering
Cloud services (AWS, GCP, Azure)
SQL proficiency
Programming (Python, Scala, Java)
Data modeling

Herramientas

Spark
Kafka
Airflow
Databricks
Terraform
Descripción del empleo
The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you.

ABOUT FANDUEL GROUP

FanDuel Group is a world-class team of brands and products that deliver sports betting, gaming and entertainment to millions of US sports fans every day. That's no easy task, and wouldn't be possible without a fantastic team who have helped us pioneer new products and innovative features that make us a leader in the industry. Whether you're looking for better career progression, improved financial security or just a better sense of belonging, we believe we've created a culture in which everyone can succeed, no matter how you got here.

FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and a constituent of the FTSE 100 index of the London Stock Exchange.

The Position

Our roster has an opening with your name on it!

We are seeking a Lead Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you'll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company.

You will collaborate closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset.

Architect High-Impact Data Systems
  • Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
  • Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies
  • Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions
Drive Engineering Best Practices
  • Establish and enforce engineering best practices around code quality, testing, documentation, and deployment
  • Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient
  • Run technical design and code reviews, mentoring and collaborating with peers and raising the bar for engineering excellence
Lead Strategic Initiatives
  • Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure
  • Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance
  • Drive initiatives that improve data quality, lineage, observability, and system reliability
Influence and Collaborate Across Teams
  • Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy
  • Provide technical leadership and guidance to other data engineers and contribute to the team's overall growth and maturity
  • Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient
If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you!

What We're Looking For

What we're looking for in our next teammate:
  • 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
  • Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure)
  • Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures
  • Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
  • Demonstrated experience owning complex technical systems end-to-end, from design through production
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Preferred Qualifications
  • Experience designing data platforms that support analytics, machine learning, and operational workloads
  • Familiarity with data governance, privacy, and compliance frameworks
  • Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS)
  • Experience with infrastructure-as-code and data platform observability (e.g., Terraform)
What You Can Expect
  • Interesting work - working in a fast-paced and ever-changing industry, new problems and exciting solutions are never too far away. There are always opportunities to learn new skills and broaden your horizons
  • A sense of achievement - Our teams own their own software and when that awesome new feature ships to users and the positive feedback starts rolling in, you can feel really proud of what you and your team created
  • Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning.
  • Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots of fun doing it.
  • Trust - A trusting work environment where productivity is valued above all else, giving you autonomy and ownership of your time and work
  • Great financial package - Including salary, bonus, pension, private healthcare, share save scheme, flexible working & holiday policy along with a number of other benefits.
Diversity, Equity and Inclusion

FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.

The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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