Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Kennedys
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data engineer

Data Engineer

Data Engineer

Data Engineer

Kennedys is looking for a Data Engineer to join its Transformation team.

The Data Engineer will ensure that data analysts and users receive the data they need at the right time, in the right format and to a high level of data quality. This is achieved through building solutions for integrating and consolidating data from different data sources and structuring this data that meet data analysts and data users reporting requirements.

Team

Kennedys Tranformation team is responsible for the delivery of projects across the global firm, working with all business services departments and all offices and legal teams.

They take projects from discovery through to benefits realisation, aligning with the Firm's strategic goals and offering expertise and experience to both Kennedys staff and clients

The team comprises project managers and business analysts, as well as a PMO function which drives project standards, practice and governance.

The Transformation team is based in London, Chelmsford and Manchester. 

Key responsibilities 

Review existing systems and pipelines Develop and deploy efficient and scalable ETL/ELT pipelines in Azure Integrate and consolidate data from different source systems Deliver services that are automates, reliable and secure Recommend ways to improve data efficiency and data quality.

Required experience 

3+ years' experience as a data engineer, working with Azure 3+ years' experience using an Azure ETL tool (ADF) 3+ years' experience of using Azure (SQL Database, PostgreSQL, Cosmos DB) Experience of Azure SQL/NoSQL, ADLS, Databricks, Data Factory Experience of creating and maintaining data warehouses to service Enterprise needs Excellent communication skills, both verbal and written Strong analytical and problem-solving skills Experience working under agile approaches Experience supporting the creation and design of user centric services Exposure to Data Reporting and Dashboarding solutions and best practice (Power BI)

Please let us know if you require any additional support or adjustments to be made in order to submit your application to Kennedys. 

*where a level of experience is indicated, this is a guideline only and represents the amount of time we would usually expect a candidate to accumulate the requisite level of experience. This does not preclude applications from candidates with more or less experience.

AboutKennedys

Kennedys is a global law firm with expertise in dispute resolution and advisory services. With over 2,500 people worldwide across 45 offices in the UK, Europe, Middle East, Asia Pacific and America we have some of the most respected legal minds in their field.

Our lawyers handle both contentious and non-contentious matters, and provide a range of specialist legal services, for many industry sectors but we have particular expertise in litigation and dispute resolution, especially in defending insurance and liability claims.

We're a fresh-thinking firm, and we're not afraid to bring challenging new perspectives to the table way beyond the traditional realm of legal services. We empower our clients with a diverse range of ideas, tools and technology to make their lives easier, as well as delivering exceptional results, every time.

What do we have to offer?

We welcome high-performing lawyers, business services professionals, secretaries, graduates and apprentices to join our rapidly expanding global firm. Whatever your role at Kennedys, you'll be involved in exciting and stimulating work, where your input will make a difference.

Our culture and values form a big part of who we are and we take them seriously. We make a difference by being approachable, straightforward, supportive and distinctive. Our are at the core of who we are and what make us a great firm to work with and for.

The Firm recognises the value of investing in our people's development and believes our culture and values contribute to the quality of our work and of our client relationships. With a culture of on-the-job and experiential learning, peer to peer learning, mentoring, resources and tools that enable you to drive your career, we can support your development in your current and future roles. A variety of other opportunities are available including secondments to clients and our global offices.

We strive to celebrate empower our people and ensure everyone can bring their authentic selves to work. We've created a culture based on client service, professional excellence, hard work and trust, where diversity, equity and inclusion (DE&I) is a key priority. We recognise that many of our people want to work for an employer that is aligned to their values, which is why we are building an inclusive culture, decarbonising our operations and supporting our people to thrive at work. Our people are the key to driving this change and helping us to make a difference to our clients, our people and the communities in which we live and work.

Kennedys is an equal opportunities employer and is committed to ensuring our recruitment processes are as inclusive as possible. We expect all employees to be aware of and comply with all relevant policies and procedures within their jurisdiction, including those relating to Information Security, Data Protection and Quality Management, refer any breach promptly to Risk & Compliance and to complete all mandatory training when requested.

Documents

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.