Data Engineer (GenAI)

About Linklaters

Linklaters are a people business. Being best in class in the eyes of our clients means that our people must be exceptional.

We look not only for brilliant minds, but for people who will thrive in our environment: people who love working collaboratively and demonstrate the innovative, efficient, agile, entrepreneurial, and responsible mind-set we aim to bring to every interaction.

Ours is an environment of outperformance. We achieve this not with targets and incentives, but by fostering a positive, supportive, fair, and open atmosphere.

We respect and value difference but insist on inclusivity. We celebrate all aspects of diversity and challenge any form of bias, because we want everyone to feel that they belong. This is vital to our ability to work as one team, with a common mind-set.

We recognise that one size does not fit all. Our goal is to embed flexibility across our firm by giving everyone the opportunity to work in an agile way, whether as a regular pattern or on an ad hoc basis, and we will be happy to discuss this further.

The Role

As Linklaters continues to pioneer a data-driven approach within the legal sector, the significance of Data Engineering in our operations is ever-increasing. We are leveraging ML and AI technologies to enhance our legal services, improve client experiences, and maintain our competitive edge. This role is crucial in driving our AI/ML initiatives, as it involves not only technical expertise but also a deep understanding of how these technologies can be applied innovatively in a legal context. Your contributions will be pivotal in shaping the firm’s future in AI, impacting both internal processes and client outcomes.

• Design and implement data pipelines to collect, ingest transform and serve data from multiple sources into a single storage solution to enable AI and ML-backed data products.
• Advance the firm’s approaches to deployment of AI and ML models
• Compose frameworks to support the Deployment, Testing, Monitoring and Governance of AI/ML models.
• Collaborate with Data Science teams to integrate AI and machine learning models into the firm’s data systems.
• Oversee the organisation’s emerging data lake ensuring data is easily accessible by Data Scientists for AI applications.
• Monitor and troubleshoot pipelines, ensuring continuous data flows from source applications to models.

Your Experience

• 5+ years’ experience in designing, developing, optimizing, and maintaining end-to-end data pipelines and data lake solutions using Python/PySpark, Azure Data Factory, and Azure Databricks.
• Demonstrated experience with Data frameworks and tools, such as TensorFlow, PyTorch, scikit-learn, or Hugging Face.
• Experience with big data technologies and distributed computing frameworks, such as Apache Spark or similar.
• Experience in database technologies such as ElasticSearch, Neo4j and SQL.
• Practical experience with containerization technologies, including Docker and Kubernetes
• Familiarity with infrastructure as code tools like Terraform is a bonus

The Team

An exciting time to join a team at the forefront of pioneering a data-driven enterprise with a unified data ecosystem driving outstanding client service and profitable revenue growth.

The firm is embarking on a journey to properly govern, utilise and democratise its data and this is an opportunity to get in at the ground floor. Data is integral to our work in the Generative AI space and this role provides abundant opportunity to be a major part of what makes that programme a success.

Complementing the team will be Scientists and Architects dedicated to transitioning how the firm leverages advanced data technologies, ensuring a collaborative and integrated approach to innovation.

What sets us apart:

• We offer a truly global work experience and the opportunity to be involved in strategic projects that drive innovation and shape the future of our business
• We belong to a firm that embodies its corporate social, environment, and governance responsibility commitments
• We celebrate diversity, equity, and inclusion so our people can bring themselves to work
• We advocate speak-up culture to empower our people in sharing their voices and an open-door policy to ensure they are listened to
• We invest in custom-fit career paths for our people in line with their talents and aspirations
• We provide agile working solutions to meet the changing needs of our people and our business
• We are committed to people first relationships based on mutual trust, respect, and appreciation
• We support the health and wellbeing of our people, providing a safe space to talk about emotions and mental health with access to expert advice as needed
• We invest in developing leaders of the future who demonstrate emotional intelligence and a passion to discover, coach and develop the talents of others

Our Benefits

Joining Team Linklaters will see you qualify for a range of benefits designed to reward the vital contribution you’ll be making to our success. These include:

Health

• Private Medical Insurance
• Free in-house fitness centre and subsidized health club membership
• On site GP service

Wealth

• Contributory pension
• Maternity/paternity/shared parental leave
• Income protection

Lifestyle

• Additional holiday/birthday leave
• Matched giving
• Travel insurance and season ticket loan
• Option to join sports and social clubs, as well as our employee networks groups (such as our Gender Equality , With Pride, or Social Mobility Networks)

​If you think this role would suit you, please click apply below. We look forward to hearing from you!

Technical Skills

This list of duties and responsibilities above is not exhaustive.  It is intended to describe the general content of, and requirements for, the performance of this job. As such, the role may also include the undertaking of additional tasks as required.