At a Glance
- Tasks: Design and build data solutions using Microsoft Fabric to enhance financial systems.
- Company: Join Addleshaw Goddard, a leading firm that values growth and collaboration.
- Benefits: Enjoy a supportive culture, competitive salary, and opportunities for professional development.
- Other info: Diverse and inclusive environment with excellent career growth opportunities.
- Why this job: Make a real impact by transforming business needs into effective data solutions.
- Qualifications: Experience in enterprise data solutions and strong knowledge of Microsoft Fabric required.
The predicted salary is between 63000 - 77000 £ per year.
The Data Engineer designs, builds, integrates and maintains data solutions using the firm's strategic data platforms, with a particular focus on Microsoft Fabric and the firm's financial systems.
The role translates business, finance and reporting needs into secure, maintainable and supportable data solutions that improve data quality, enable automation and deliver measurable value.
Working within the Data Engineering Team, the role combines data solution design with hands-on data ingestion, transformation, modelling, integration and reporting.
The Data Engineer works closely with Finance, business stakeholders, Product Owners, Architecture, Cyber Security, Infrastructure, platform owners and service teams throughout the data lifecycle, from discovery and design through deployment, support and continuous improvement.
What You'll Do
- Analyse business, finance and reporting needs, working closely with Finance teams to understand financial data, controls and reconciliations, and translate requirements into practical data designs and delivery options.
- Design, build and maintain Microsoft Fabric pipelines, lakehouses, warehouses, data models and reporting layers, with reliable ingestion and transformation processes that deliver trusted, consistent and usable financial information.
- Integrate financial systems, enterprise platforms, internal systems, APIs and data services, selecting appropriate batch or real-time processing, platform capabilities, extensions or custom code.
- Deliver secure, maintainable, scalable and supportable solutions aligned with enterprise architecture and approved platform patterns, working with platform owners and governance teams to meet security, privacy, data quality, retention and operational requirements.
- Apply effective source control, testing, release and deployment practices; diagnose and resolve issues across pipelines, integrations, models, financial systems and dependent services; and monitor, support and continuously improve deployed solutions.
- Maintain clear designs, technical documentation, data lineage and support information; explain options, decisions and trade-offs to technical and non-technical stakeholders; and provide realistic estimates, identify risks and dependencies, and communicate delivery progress
- Review colleagues' work, contribute to shared standards, reusable components and good engineering practice, and evaluate emerging Microsoft Fabric and data capabilities for measurable value within appropriate controls.
- Who We're Looking For
- Experienced in designing and delivering enterprise data solutions, ideally in a complex financial or professional services environment.
- Strong ability to understand business and finance processes and translate requirements into effective data solutions.
- Strong knowledge of Microsoft Fabric, including Data Factory, One Lake, lakehouses, warehouses, notebooks and Power BI.
- Knowledge of SQL, data modelling, data integration patterns, APIs and appropriate use of Python or Spark.
- Understanding of data security, privacy, quality, governance, lineage and operational support requirements.
- Experience applying structured testing, source control, release management and deployment practices to data solutions.
- Ability to diagnose problems across data pipelines, integrations, models, financial systems and dependent services.
- Ability to produce clear data designs, technical documentation, data dictionaries and support information.
Why Choose Us?
Addleshaw Goddard is a place where you are not just valued but encouraged to reach your full potential.
Our culture promotes improvement, growth, and collaboration, making us the natural choice for top-tier clients.
We celebrate diversity and are committed to creating an inclusive environment for all our employees.
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Business services – Data Engineer, Regional in Leeds employer: Addleshaw Goddard
AG Integrate, in partnership with Addleshaw Goddard, offers a unique and flexible working environment for Residential Conveyancing Solicitors in London. With a strong emphasis on employee growth, you will have the opportunity to manage your own schedule while working on diverse projects that make a real impact in the affordable housing sector. Our supportive culture encourages collaboration and innovation, ensuring that you are valued and equipped with the resources needed to thrive in your legal career.
StudySmarter Expert Advice🤫
We think this is how you could land Business services – Data Engineer, Regional in Leeds
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We think you need these skills to ace Business services – Data Engineer, Regional in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Addleshaw Goddard, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Addleshaw Goddard. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Addleshaw Goddard
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Addleshaw Goddard!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
