Senior Data Platform Engineer | Autonomy, Kafka & Flink

Unity

Brighton

In loco

GBP 56.000 - 80.000

Tempo pieno

14 giorni+

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Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

Health, life and disability insurance
Employee stock ownership
Retirement / pension plans
Generous vacation and personal days
Commute subsidy

Descrizione del lavoro

Unity is seeking a Senior Data Engineer to lead the design and implementation of our data platform, working within a skilled data and software team. The role offers high autonomy and close collaboration with stakeholders to translate needs into robust data architectures.

You will identify bottlenecks in data pipelines, propose architectural improvements, and influence the data roadmap toward technical excellence. Prior experience with streaming technologies like Kafka and Flink is essential.

Competenze

  • Strong software engineering foundations applied to data.
  • Experience with data streaming tech such as Kafka and Flink.
  • Ability to work autonomously while delivering in a team.
  • Experience translating non-technical stakeholder needs into technical requirements.

Mansioni

  • Collaborate with stakeholders to define problem space, propose technical solutions and own them through to production.
  • Identify data bottlenecks in data flows and opportunities for improvement.
  • Propose and deliver architectural improvements.
  • Influence the roadmap towards technical excellence in data engineering.

Conoscenze

Software engineering fundamentals
Data streaming (Kafka, Flink)
Autonomous / team-oriented
Stakeholder translation to technicals

Descrizione del lavoro

Unity is seeking a Senior Data Engineer to lead the design and implementation of our data platform, working within a skilled data and software team. The role offers high autonomy and close collaboration with stakeholders to translate needs into robust data architectures.

You will identify bottlenecks in data pipelines, propose architectural improvements, and influence the data roadmap toward technical excellence. Prior experience with streaming technologies like Kafka and Flink is essential.

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