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Data Engineering Manager

Оценка ИИ

Отличная позиция в компании-лидере рынка с сильной инженерной культурой и современным стеком. Предлагает хорошие возможности для карьерного роста из техлида в менеджеры.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сочетания глубоких технических знаний (Spark, Airflow, Databricks) и навыков управления людьми. Высокая планка ответственности за архитектуру и развитие команды в динамичной среде гейминга.

Анализ зарплаты

Медиана85 000 £
Рынок75 000 £ – 105 000 £
Оценка ИИ

Предлагаемая роль менеджера в Эдинбурге соответствует высокому уровню рынка Великобритании. Зарплаты в FanDuel обычно находятся в верхнем дециле для технологического сектора Шотландии.

Сопроводительное письмо

I am writing to express my interest in the Data Engineering Manager position at FanDuel. With over 6 years of experience in data engineering and a proven track record of mentoring technical teams, I am excited about the opportunity to lead your data engineering efforts in Edinburgh. My background in building scalable pipelines using Spark, Airflow, and Databricks, combined with my experience in cloud environments like AWS, aligns perfectly with FanDuel's technical stack and growth ambitions.

Throughout my career, I have balanced hands-on technical delivery with strategic people management. I am particularly drawn to FanDuel's focus on behavioral analytics and high-performance culture. I am confident that my experience in translating complex business requirements into actionable engineering plans, while fostering a collaborative team environment, will allow me to make a significant contribution to your data products and infrastructure.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в fanduel уже сейчас

Присоединяйтесь к лидеру индустрии спортивных ставок и возглавьте команду, создающую будущее дата-платформ!

Описание вакансии

Our roster has an opening with your name on it

We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

THE GAME PLAN

Everyone on our team has a part to play

Team Management & Growth

  • Lead a team of data engineers through coaching, mentorship, and technical guidance
  • Support individual career development and performance feedback, creating growth opportunities for your team
  • Foster a collaborative, inclusive, and high-performance team culture

Technical Oversight & Delivery

  • Guide the design and implementation of scalable data pipelines, platforms, and data products
  • Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
  • Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices

Cross-Functional Collaboration

  • Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
  • Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
  • Communicate clearly across technical and non-technical teams to align on priorities and progress

Operational Excellence

  • Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
  • Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
  • Drive continuous improvement in development workflows and team productivity

THE STATS

What we're looking for in our next teammate

  • 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
  • Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
  • Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
  • Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
  • Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).
  • Strong communication and collaboration skills with a passion for working across teams.

Preferred Skills

  • Prior experience in a people management or tech lead role within a data engineering or analytics team
  • Familiarity with machine learning workflows, data observability, and streaming architectures
  • Experience working in a product-driven, customer-focused organization
  • Understanding of data privacy, security, and compliance frameworks

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognised brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER CONTRACT

We treat our team right

From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:

  1. An exciting and fun environment committed to driving real growth
  2. Opportunities to build really cool products that fans love
  3. Mentorship and professional development resources to help you refine your game
  4. Flexible vacation allowance to let you refuel
  5. Hall of Fame benefit programs and platforms

FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!.”  We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.  We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance.  Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team

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Навыки

  • Spark
  • dbt
  • Airflow
  • Kafka
  • Databricks
  • Python
  • Scala
  • Java
  • SQL
  • AWS
  • Google Cloud Platform
  • Azure
  • Snowplow
  • Amplitude
  • Google Analytics

Возможные вопросы на собеседовании

Проверка опыта перехода от индивидуального контрибьютора к лидеру.

Опишите ваш подход к переходу от написания кода к управлению командой: как вы балансируете между hands-on задачами и менеджментом?

Оценка технической экспертизы в стеке компании.

С какими самыми сложными проблемами масштабируемости в Spark или Databricks вы сталкивались и как их решали?

Проверка навыков работы с заинтересованными сторонами.

Как вы расставляете приоритеты в бэклоге, когда требования от дата-сайентистов и бизнес-аналитиков конфликтуют между собой?

Оценка понимания специфики данных, упомянутых в вакансии.

Какой опыт у вас есть в работе с поведенческой аналитикой (например, Snowplow или Amplitude) и как это влияло на дизайн ваших пайплайнов?

Проверка лидерских качеств и развития талантов.

Расскажите о случае, когда вам пришлось давать сложную обратную связь члену команды. Каков был результат?

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fanduel
Страна
Великобритания