At a Glance
- Tasks: Design and develop real-time data pipelines and enhance Power BI dashboards.
- Company: Join a leading tech firm in the heart of London.
- Benefits: Competitive salary, career growth, and a vibrant work culture.
- Other info: Work onsite in a dynamic team environment with exciting projects.
- Why this job: Be at the forefront of data engineering and AI-driven solutions.
- Qualifications: 5-7 years in Data Engineering with strong Python and SQL skills.
The predicted salary is between 60750 - 74250 £ per year.
Location: London, Bond street (Onsite – 5 Days/Week)
Experience: 5 - 8 Years
Job type: Permanent
About the Role
We are looking for an experienced Azure Data Engineer with strong expertise in Azure Data Services, Data Warehousing, ETL Development, and Data Visualization. The ideal candidate should be capable of designing scalable data solutions and delivering business-critical analytics platforms.
Key Responsibilities
- Design and develop real-time and ETL/ELT data pipelines integrating multiple data sources (APIs, databases, flat files).
- Support the development and maintenance of a scalable data warehouse for reporting and analytics.
- Build and enhance Power BI dashboards and reports for business stakeholders.
- Develop data integration workflows using Azure Data Factory, Logic Apps, and Azure Functions.
- Perform data processing and transformation using Python and SQL.
- Contribute to AI-driven solutions using OpenAI APIs for automation, NLP, and insights.
- Assist in building AI agents for post-sales call audits and analysis.
- Collaborate with cross-functional teams including analysts, product managers, and data scientists.
- Monitor pipeline performance and ensure data quality, consistency, and reliability.
- Follow best practices for data governance, security, and compliance.
Required Qualifications
- 5 – 7 years of experience in Data Engineering or similar roles.
- Hands-on experience in building ETL/ELT data pipelines.
- Strong proficiency in Python for data manipulation and automation.
- Solid SQL skills for querying and managing data.
- Experience with Azure ecosystem: Azure Synapse / Data Lake (preferred exposure).
- Experience in Power BI for reporting and dashboards.
- Basic exposure to OpenAI APIs / AI/ML concepts.
- Good understanding of data warehousing concepts.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Exposure to DevOps / CI-CD pipelines.
- Familiarity with Databricks / Microsoft Fabric.
- Understanding of data privacy regulations (GDPR) and secure data handling practices.
Azure Data Engineer in London employer: Accion Labs
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in the heart of London. As a Data Engineer, you'll benefit from hybrid working arrangements, competitive salary, and ample opportunities for professional growth in a supportive environment that encourages creativity and skill development.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨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 Accion Labs!
✨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 Azure Data Engineer at Accion Labs.
✨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 Accion Labs.
✨Apply Directly through Our Website
When you find a suitable opening like Azure Data Engineer at Accion Labs, 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 Azure Data Engineer in London
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 Accion Labs, 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 Accion Labs. 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 Accion Labs
✨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 Accion Labs!
✨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.
