At a Glance
- Tasks: Design and build scalable data solutions, develop real-time data pipelines, and create insightful Power BI dashboards.
- Company: Join a forward-thinking company in London focused on innovative data engineering.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of data engineering and contribute to AI-driven projects.
- Qualifications: 4-5 years in Data Engineering, strong Python and SQL skills, Azure experience.
The predicted salary is between 50000 - 60000 £ per year.
Location: London (Onsite – 5 Days/Week)
Role: Data Engineer
Experience: 4–6 Years
Job type: Permanent
Salary range: 50K - 60K
About the Role
We are seeking a skilled Data Engineer with strong hands-on experience in designing and building scalable data solutions. The role involves working on real-time and batch data pipelines, supporting data warehouse development, delivering insights through Power BI, and contributing to AI-driven initiatives using OpenAI APIs. The ideal candidate will have solid exposure to modern data engineering practices, cloud platforms (Azure), and a passion for building intelligent, data-driven solutions.
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
- 4–5 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 Data Factory
- Azure Logic Apps / Azure Functions
- 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.
If interested to hear more about this role, please send your CV to with the best contact details to get connected for a quick discussion on the same.
Regards, Mary Priscilina
Data Engineer _ London_ Permanent in Chelmsford employer: Accion Labs
Join a dynamic and innovative team in London as a Data Engineer, where you will have the opportunity to work on cutting-edge data solutions in a collaborative environment. Our company fosters a culture of continuous learning and professional growth, offering employees access to the latest technologies and training in AI-driven initiatives. With a focus on work-life balance and a supportive atmosphere, we are committed to empowering our employees to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer _ London_ Permanent in Chelmsford
✨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 Accion Labs.
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We think you need these skills to ace Data Engineer _ London_ Permanent in Chelmsford
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 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!
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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
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✨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.
