At a Glance
- Tasks: Design and build data engineering solutions using Azure Databricks for large-scale datasets.
- Company: Join a leading financial services team in London with a hybrid working model.
- Benefits: Competitive rate of £500 per day, flexible work schedule, and collaborative environment.
- Other info: Opportunity to grow in a dynamic Agile environment with excellent career prospects.
- Why this job: Make an impact by optimising data pipelines and working with cutting-edge Azure technologies.
- Qualifications: 6+ years in data software engineering with strong Azure Databricks expertise.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, UK
Rate: £500 per day, inside IR35
Working Mode: 3 days a week on site
We're looking for a Data Software Engineer - Azure Databricks to join our client (Financial Services) team in London, UK in a hybrid working mode. In this role, you will design and build data engineering solutions leveraging Azure Databricks and related Azure services, enabling efficient processing and transformation of large-scale datasets. You will collaborate with cross-functional teams to ensure the delivery of optimized, reliable, and scalable data pipelines aligned with business requirements.
Responsibilities
- Develop robust, scalable data engineering solutions using Azure Databricks and Azure Data Factory
- Design and optimize data pipelines for processing large volumes of data (multi-million records) with high performance
- Participate in customer discussions, requirement analysis, and technical solution design
- Ensure code quality, performance tuning, and adherence to best practices throughout development
- Communicate project status effectively and elevate critical issues to stakeholders and management
- Actively collaborate with team members to deliver data-driven solutions in an Agile environment
Requirements (Must Have Skills)
- 6+ years of experience in data software engineering with a strong focus on Azure technologies
- Expertise in Azure Databricks development, including efficient handling of large datasets
- Strong working knowledge of Azure Data Factory for building complex ETL workflows
- Experience with performance optimization of data pipelines and distributed processing setups
- Proficiency in Scala development (hands-on experience highly desirable)
- Solid understanding of Azure services relevant to data engineering and cloud architecture
- Strong problem-solving ability with effective communication skills for team collaboration
Nice to Have Skills
- Experience working in Agile teams, including Scrum or Kanban methodologies
- Familiarity with CI/CD practices and tools for data engineering workflows
- Databricks certification or equivalent credentials
- Understanding of data security, compliance, and governance best practices in cloud environments
Data Engineer (Databricks) in London employer: Ports North
Ports North is an excellent employer, offering a dynamic remote work environment that fosters innovation and collaboration in the field of enterprise analytics. With a strong commitment to employee growth, we provide opportunities for professional development and skill enhancement, particularly in cutting-edge SAP technologies. Our inclusive work culture values diverse perspectives, ensuring that every team member can contribute meaningfully to our major SAP S/4HANA transformation projects.
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We think this is how you could land Data Engineer (Databricks) in London
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We think you need these skills to ace Data Engineer (Databricks) 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!
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Craft a Tailored Cover Letter:For a full-time role at Ports North, 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 Ports North. 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 Ports North
✨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.
