At a Glance
- Tasks: Design and develop enterprise data solutions and build scalable data pipelines.
- Company: Leading professional services organisation with a focus on Data & Analytics.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Collaborative environment with opportunities to work with diverse stakeholders.
- Why this job: Play a key role in enhancing an enterprise data platform and delivering impactful insights.
- Qualifications: Strong experience in data engineering and expertise in Snowflake and Azure Data Factory.
The predicted salary is between 63000 - 77000 £ per year.
A leading professional services organisation is seeking a Data Engineer to join its growing Data & Analytics function.
This is an excellent opportunity to play a key role in the development and enhancement of an enterprise data platform, helping to deliver high-quality reporting, analytics, and business insights.
You'll be responsible for designing and maintaining data solutions, building scalable data pipelines, and supporting the delivery of robust data models that power enterprise reporting and analytics.
Key Responsibilities
- Design and develop enterprise data platform solutions.
- Build and maintain scalable, production-grade data pipelines and transformation processes.
- Develop dimensional data models to support reporting and analytics requirements.
- Manage and optimise Snowflake environments for performance and cost efficiency.
- Create and maintain data ingestion pipelines using Azure Data Factory (ADF).
- Implement data governance, security controls, and access management policies.
- Contribute to data engineering standards, best practices, and CI/CD processes.
- Collaborate with technical and non-technical stakeholders to deliver business-focused data solutions.
Skills & Experience
- Strong experience in data engineering, data architecture, and data modelling.
- Hands‑on expertise with Snowflake, including administration and performance optimisation.
- Experience using Azure Data Factory (ADF) for orchestration and data integration.
- Solid understanding of data warehousing and dimensional modelling principles.
- Experience creating enterprise data models, data dictionaries, and taxonomies.
- Ability to communicate complex technical concepts to business stakeholders.
- Experience within professional services or legal services environments would be advantageous.
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Data Engineer employer: Dgh Recruitment
As a leading professional services firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With a strong focus on employee growth, we offer comprehensive training and development opportunities, ensuring that our Data Management & Governance Specialists can thrive in a dynamic environment while enjoying the benefits of a hybrid working model in London. Join us to be part of a team that values data integrity and promotes best practices across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dgh Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Dgh Recruitment.
✨Leverage Professional Networks
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 Dgh Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Dgh Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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!
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 Dgh Recruitment, 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 Dgh Recruitment. 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 Dgh Recruitment
✨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 Dgh Recruitment!
✨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.
