At a Glance
- Tasks: Design and build scalable data platforms using Databricks and SQL.
- Company: Join a growing data engineering team delivering modern data solutions.
- Benefits: Competitive salary, bonus, and permanent benefits with hybrid working.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact by transforming complex data into meaningful insights.
- Qualifications: Strong experience in Databricks, SQL, and data governance principles.
The predicted salary is between 100000 - 112000 £ per year.
- Senior Databricks Technical Engineer
- UK Wide (hybrid working)
- £100,000 0 £112,000 + bonus + perm benefits
Join a growing data engineering team delivering modern data solutions that help organisations turn complex data into meaningful business insights.
As a Senior Databricks Technical Engineer, you'll design and build scalable data platforms, collaborate with stakeholders, and develop analytics solutions that drive better decision-making and operational performance.
What You'll Be Doing
Design, build and maintain data pipelines using Databricks and SQL.
Transform and curate data from multiple sources into high-quality datasets.
Develop dashboards and visualisations that deliver actionable insights.
Partner with stakeholders to understand reporting and analytics requirements.
Ensure data quality, governance and security standards are met.
Collaborate with technical teams to optimise platform performance, scalability and cost efficiency.
Contribute to best practices, documentation and continuous improvement initiatives.
Skills & Experience
Strong hands-on experience as a Data Engineer with expertise in Databricks.
Advanced SQL skills and experience working with large datasets.
Knowledge of data lakehouse architectures and modern analytics platforms.
Experience designing data models and supporting reporting tools such as Power BI.
Understanding of data governance, security and data quality principles.
Strong stakeholder management, communication and Agile delivery experience.
Please note: Candidates must be eligible for UK SC Clearance, including having resided continuously in the UK for the last five years
Senior Databricks Technical Engineer employer: Adecco
Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Technical 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 Adecco!
✨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 Senior Databricks Technical Engineer at Adecco.
✨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 Adecco.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Databricks Technical Engineer at Adecco, 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 Senior Databricks Technical 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 Adecco, 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 Adecco. 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 Adecco
✨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 Adecco!
✨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.
