At a Glance
- Tasks: Design and build scalable data pipelines for a cutting-edge legal platform.
- Company: Join Taylor Rose, where tech meets modern law in an entrepreneurial environment.
- Benefits: Enjoy a competitive salary, healthcare, 26 days holiday, and training opportunities.
- Other info: Be part of a dynamic team that values innovation and collaboration.
- Why this job: Make a real impact by optimising data for over 1,000 legal professionals.
- Qualifications: Experience as a Data Engineer with skills in Databricks, SQL, and Python.
In most companies, the IT and platform teams work quietly in the background. At Taylor Rose, our Platform Team is the headline act. Our firm’s entire identity is built on delivering "Smart, Modern Law"—and that is only possible because of the infrastructure, integrations, and automation our platform experts design and deploy every single day. When you join our team, you aren’t just maintaining legacy software or closing basic support tickets. You are stepping into an entrepreneurial, tech-first environment where you will build, scale, and optimize systems for over 1,000 legal professionals nationwide.
We are recruiting a Data Engineer who will be responsible for how data is ingested, transformed, mapped, and optimised into the central Customer Data Platform (CDP). The Data & Analytics Manager sets the strategy; this role delivers it through high-quality, reliable data pipelines and well-modelled datasets.
Requirements:
- Commercial experience as a Data Engineer in a modern data platform
- Strong hands-on experience with Databricks (or equivalent cloud data platforms)
- Proven experience building production data pipelines
- Experience mapping and migrating data from legacy systems
- Solid understanding of data modelling and transformation
- Experience supporting analytics tools such as Tableau
- Desirable: Experience with Salesforce Data Cloud (Data 360) or CRM data models
- Desirable: Exposure to AI-ready data platforms or automation use cases
- Desirable: Experience working within a Centre of Excellence or multi-team environment
This role involves but is not limited to:
- Design, build, and maintain scalable, production-grade data pipelines into Databricks.
- Implement ingestion, transformation, and optimisation patterns using SQL, Spark, and Python.
- Ensure datasets are performant, reliable, and analytics-ready.
- Lead hands-on data mapping from legacy systems into Databricks with downstream implication with Analytics (Tableau) and strong AI use cases (Mulesoft IDP and Data360/Agentforce).
- Support ingestion and harmonisation of data arising from M&A activity.
- Analyse acquired datasets and integrate them into the central data platform.
- Establish and govern testing standards covering functional, regression, integration and UAT testing.
Company Core Values:
- Aspire: To challenge convention, an entrepreneur with energy for change. To be the best that we can be.
- Integrate: Bring together people and systems into a cohesive force.
- Innovate: To creatively evolve our working practices, use our revenue and resources in a virtuous cycle of improving our people, systems and growth.
- Commit: To delivering excellent client experience and working with integrity, investing in long term relationships, creating a strong market position and delivering sustained commercial advantage.
In return we offer:
- Competitive salary
- Healthcare Plan
- 26 Days Holiday Plus Bank Holidays
- Internal and External Training and Development
Data Engineer employer: Taylor Rose Limited
At Taylor Rose, we pride ourselves on being a tech-first employer that places our Platform Team at the forefront of our operations. As a Data Engineer, you will thrive in an entrepreneurial environment that fosters innovation and collaboration, with ample opportunities for professional growth through internal and external training. Enjoy a competitive salary, a comprehensive healthcare plan, and generous holiday allowances while contributing to a dynamic team that is redefining modern law.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Taylor Rose on LinkedIn or attend industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data pipelines and tools like Databricks. This hands-on evidence can really set you apart during interviews.
✨Tip Number 3
Be ready to discuss real-world scenarios! Think about how you've tackled challenges in data engineering before, especially around data mapping and transformation. We love hearing about your problem-solving skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Taylor Rose.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your hands-on experience with Databricks and any other cloud data platforms. We want to see how you've built production data pipelines and tackled data mapping from legacy systems.
Tailor Your Application:Don’t just send a generic application! Tailor it to reflect our core values like innovation and integration. Show us how your experience aligns with our entrepreneurial, tech-first environment and how you can contribute to our mission of delivering 'Smart, Modern Law'.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points for your skills and experiences to make it easy for us to see what you bring to the table. Remember, we’re looking for high-quality, reliable data engineers who can communicate effectively!
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Taylor Rose.
How to prepare for a job interview at Taylor Rose Limited
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the specifics of data ingestion, transformation, and mapping. Brush up on your experience with Databricks and be ready to discuss how you've built production data pipelines in the past. This will show that you understand the core responsibilities of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles, especially related to data migration from legacy systems. Discuss how you approached these problems and the solutions you implemented. This will demonstrate your ability to think critically and adapt in a tech-first environment.
✨Familiarise Yourself with Their Tools
Since the role involves working with analytics tools like Tableau and possibly Salesforce Data Cloud, it’s a good idea to have a basic understanding of these platforms. If you can, try to get hands-on experience or at least read up on their functionalities so you can speak confidently about them during the interview.
✨Embrace Their Core Values
Taylor Rose values innovation, integration, and commitment. Think about how your personal values align with theirs and prepare to discuss this in the interview. Showing that you aspire to challenge convention and are eager to contribute to a cohesive team will resonate well with the interviewers.
