Senior Data Engineer in Doncaster

Senior Data Engineer in Doncaster

Doncaster Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Close Brothers

At a Glance

  • Tasks: Lead data engineering projects and design data platforms for business intelligence.
  • Company: Close Brothers, a diverse and inclusive tech team.
  • Benefits: Flexible working hours, competitive salary, and a supportive environment.
  • Other info: Opportunities for growth and development in a fast-paced environment.
  • Why this job: Make a real impact in data engineering while collaborating with a dynamic team.
  • Qualifications: Experience in data engineering and strong analytical skills.

The predicted salary is between 60000 - 80000 £ per year.

At Close Brothers we look to recruit individuals from all different backgrounds and encourage you to apply even if you don’t tick every box. We celebrate diversity and promote inclusivity. Vacancies are available on a part‑time, job‑share or full‑time basis because we know the best person for the job isn’t always available full‑time. Our aim is to facilitate requests wherever possible and managers will consider requests on an individual basis.

Join the Close Brothers Technology Team where you will lead on understanding business requirements and objectives and on the physical design of data warehouses and data platforms that support demands for business intelligence and analytics.

Responsibilities
  • Define and manage scoping, requirements definition and prioritisation activities for initiatives of medium size and complexity.
  • Implement physical database designs to support analytical data requirements for performance and availability.
  • Design, implement, and maintain complex data engineering solutions to acquire and prepare data.
  • Investigate enterprise data requirements where there is some complexity and ambiguity.
  • Assess, analyse, develop, document and implement changes based on requests for change.
  • Assess and analyse release components for input to release scheduling.
  • Ensure that all Governance and Compliance requirements are adhered to and all reporting and reviewing activities required by the Regulatory Bodies are carried out to the standards required.
Desired Qualifications
  • Approach problems systematically and objectively, analyse facts and evaluate options whilst drawing sound conclusions.
  • Build long lasting relationships with both internal and external customers.
  • Collaborate openly and effectively across functions to deliver change.
  • Possess an excellent attention to detail.
  • Remain focused and calm under pressure.
  • Present insight to and communicate effectively with a range of stakeholders including senior management.
  • Plan well and is able to balance multiple priorities and deal with ambiguity.
  • Role model a genuine drive for improvement and encourage others to drive for excellence.
Preferred (but not essential) Qualifications
  • Identify dependencies and risks across multiple projects / delivery streams.
  • Experience of implementing and supporting cloud data platforms such as Snowflake.
  • Knowledge and experience of working in an Agile way.
  • Financial services domain knowledge.

Senior Data Engineer in Doncaster employer: Close Brothers

At Close Brothers, we pride ourselves on being an inclusive employer that values diversity and offers flexible working arrangements to suit individual needs. Our collaborative work culture fosters innovation and personal growth, providing employees with opportunities to lead impactful projects in a supportive environment. Located in a vibrant area, our team enjoys not only professional development but also a balanced lifestyle, making Close Brothers an excellent choice for those seeking meaningful and rewarding employment.

Close Brothers

Contact Details:

Close Brothers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in Doncaster

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 Close Brothers!

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 Data Engineer at Close Brothers.

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 Close Brothers.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer at Close Brothers, 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 Data Engineer in Doncaster

Data Warehouse Design
Data Engineering Solutions
Analytical Skills
Requirements Definition
Database Design
Governance and Compliance
Cloud Data Platforms (e.g., Snowflake)

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 Close Brothers, 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 Close Brothers. 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 Close Brothers

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 Close Brothers!

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.