At a Glance
- Tasks: Build and optimise data pipelines on our cutting-edge Azure Databricks platform.
- Company: Join a forward-thinking company focused on economic data analysis.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in data engineering with innovative technologies.
- Qualifications: 10+ years in data engineering, strong skills in Python and Azure Databricks.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets.
Essential Skills & Experience:
- 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.
- Strong proficiency in Python and Spark (PySpark) or Scala.
- Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.
- Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL.
- Proven expertise with Databricks, including hands-on implementation experience.
Key Responsibilities:
- Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform.
- Optimise data pipelines for performance, efficiency, and cost-effectiveness.
- Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies.
- Develop and maintain data processing logic for cleaning, enriching, and aggregating data.
- Ensure data consistency and accuracy throughout the data life cycle.
Senior Data Engineer - Hybrid Working in London employer: ConSol Partners
Join a forward-thinking company that values innovation and collaboration, offering a fully remote working environment for the Technical Author role. With a strong focus on employee growth, you will have the chance to work on high-profile defence programmes while enjoying the flexibility of remote work and occasional travel. Our supportive culture encourages continuous learning and development, making it an excellent place for those looking to make a meaningful impact in the engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid Working in London
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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 ConSol Partners.
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We think you need these skills to ace Senior Data Engineer - Hybrid Working 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 ConSol Partners, 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 ConSol Partners. 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 ConSol Partners
✨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 ConSol Partners!
✨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.
