At a Glance
- Tasks: Design and maintain an enterprise data platform, ensuring seamless data flow into Snowflake.
- Company: Join Kennedys, a forward-thinking firm with a commitment to innovation and inclusivity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on delivering reliable IT services.
- Why this job: Make a real impact by optimising data for powerful reporting and analytics.
- Qualifications: Experience in data analysis, Snowflake, and Azure Data Factory is essential.
The predicted salary is between 50000 - 65000 £ per year.
Job Overview
Kennedys is looking for a Data Engineer with skills in general data analysis and data architecture to join our Data Services team and support the Reporting & Analytics programme.
The role involves designing and maintaining an enterprise data platform, ensuring seamless data flow into Snowflake, and delivering high performance data models to support Power BI reporting.
Programme Context
The Reporting & Analytics programme aims to deliver a firm‑wide reporting and analytics ecosystem underpinned by robust data governance and a unified data strategy.
Team
Kennedys IT team delivers responsive and timely services to partners and employees, implementing operational processes to provide reliable IT systems and applications.
Our Development Team creates and maintains bespoke applications to enable the firm to perform more productively.
Key Responsibilities
- Analyze current datasets to prioritize and design and implement the enterprise data platform, and design and implement a dimensional model within Snowflake to serve as the foundation for enterprise reporting & analytics.
- Build and maintain production‑grade data transformation workflows, ensuring code is version‑controlled, tested, and documented.
- Optimize Snowflake warehouses to ensure cost‑efficiency and query performance.
- Develop and manage data pipelines using Azure Data Factory (ADF) to ingest data from various data sources.
- Automate and monitor data loads to ensure timely availability of data for the business.
- Manage role‑based access control (RBAC) and data masking policies within Snowflake to protect sensitive legal and client data.
- Contribute to the definition of engineering standards, naming conventions, and CI/CD practices for the data platform.
- Required Experience
- Strong hands‑on experience with general data analysis, data architecture, data dictionaries, data taxonomy, and enterprise data models.
- Strong hands‑on experience with Snowflake architecture, administration, and performance optimization.
- Experience with Azure Data Factory (ADF) for orchestration and ingestion.
- Deep understanding of dimensional modelling and data warehousing concepts.
- Ability to translate technical data concepts for non‑technical legal and business stakeholders.
- Experience in professional services or the legal industry is desirable.
Kennedys is an equal opportunities employer and is committed to ensuring our recruitment processes are as inclusive as possible.
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Data Engineer employer: Kennedys
Kennedys is an excellent employer, offering a dynamic work culture that values collaboration and professional growth. With a hybrid working policy, employees enjoy the flexibility of remote work while being part of a supportive team in Belfast, where opportunities for career advancement and skill development are abundant. The firm prioritises employee well-being and fosters an environment where proactive individuals can thrive in their legal careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kennedys.
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We think you need these skills to ace Data Engineer
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!
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Craft a Tailored Cover Letter:For a full-time role at Kennedys, 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 Kennedys. 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 Kennedys
✨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!
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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 Kennedys!
✨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.
