At a Glance
- Tasks: Design and maintain scalable data pipelines using cutting-edge tools like Databricks and Apache Spark.
- Company: Join Fimador, a leader in AI and ML innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a culture of engineering excellence with mentoring and high-quality practices.
- Why this job: Be at the forefront of data engineering and make a real impact on global projects.
- Qualifications: Experience with data pipelines, compliance standards, and collaborative tools.
The predicted salary is between 70000 - 90000 £ per year.
Fimador is currently recruiting for a Principal Data Engineer to join a team developing cutting-edge data-driven products. This role is helping the firm pioneer AI and ML in the global environment. This role is central to designing and maintaining scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices.
Key Responsibilities:
- Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark).
- Ensure performance, scalability, and compliance (GxP and other standards).
- Collaborate on requirements, design, and backlog refinement.
- Promote engineering best practices including CI/CD, code reviews, and testing.
- Research and introduce new tools, technologies, and methodologies.
Ideal experience:
- Experience with efficient, reliable data pipelines that improve time-to-insight.
- Knowledge of secure, auditable, and compliant data workflows.
- Know how on optimising performance and reducing costs through Spark and Databricks tuning.
- Be able to create reusable, well-documented tools enabling collaboration across teams.
- A culture of engineering excellence driven by mentoring and high-quality practices.
Preferred Experience:
- Databricks in a SaaS environment, Spark, Python, and database technologies.
- Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python).
- Data Governance, Data Lakehouse/Data Intelligence platforms.
- AI software delivery and AI data preparation.
Data Engineer employer: Fimador
Fimador is an exceptional employer that fosters a culture of engineering excellence, where innovation and collaboration thrive. Located in a dynamic environment, employees benefit from opportunities for professional growth through mentoring and exposure to cutting-edge technologies in AI and ML. With a commitment to best practices and compliance, Fimador not only prioritises employee development but also ensures a rewarding and meaningful work experience.
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 Fimador!
✨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 Fimador.
✨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 Fimador.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Fimador, 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 Fimador, 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 Fimador. 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 Fimador
✨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 Fimador!
✨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.
