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Data Engineer

Data Engineer

Jobs via eFinancialCareersLondon, England, United Kingdom
21 days ago
Job type
  • Full-time
Job description

twentyAI are partnering with a globally renowned law firmcurrently undergoinga major digital and data transformation. With a deep-rooted legacy in legal excellence and a strong global footprint, the firm is currently modernising their datacapability and building a new data platform.

You will be part of a diverse group of engineers and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business to access trusted, well-structured data. You will alsofocuson building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the business.

Requirements :

  • Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows.
  • Work with Infrastructure as Code, primarily Terraform, to automate and manage cloud infrastructure, enabling repeatable and reliable deployment processes.
  • Collaborate closely with data scientists, MLEs,and business teams in an agile environment to deliver data solutions that support key firm initiatives.
  • Build scalable and efficient batch and streaming data workflows within the Azure ecosystem.
  • Apply distributed processing techniques using Apache Spark to handle large datasets effectively.
  • Help drive improvements in data quality, implementing validation, cleansing, and monitoring frameworks.
  • Contribute to the firm’s efforts around data security, governance, and compliance by adopting best practices and integrating security controls in pipelines.
  • Identify bottlenecks and optimise performance across data pipelines and cloud infrastructure.
  • Participate in the ongoing migration from legacy systems to modern data platforms.

Requirements :

  • Experience with Microsoft Azure data tools — especially Data Factory and Synapse.
  • Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued.
  • Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI / CD pipelines in a data engineering context.
  • Practical knowledge of distributed processing frameworks, particularlySpark.
  • Comfortable working in a complex environment that is evolving from legacy systems toward a modern data architecture.
  • Strong problem-solving skills and the ability to work collaboratively in a cross-functional agile team.
  • Exposure to data governance, security, and compliance principles is desirable.
  • Background in industries where data security and governance are paramount is a plus, such as financial services, professional services, or legal.
  • Work at the forefront of a major digital transformation in a prestigious global legal organisation.
  • Be part of a collaborative team that values innovation, continuous learning, and practical engineering approaches.
  • Opportunity to work with the latest Azure tools and technologies - including Microsoft Fabric.
  • If you’re passionate about building scalable, secure data platforms and enjoy working in a dynamic, supportive environment, we want to hear from you. Click the Apply button or send your CV to mihaela.popova@twentyai.com directly.

    twentyAI provides augmented intelligence enabled talent solutions across the UK, Europe and United States.People and technology are central to our ...

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