Sr. Data Engineer

Sr. Data Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Zensar Technologies

At a Glance

  • Tasks: Collaborate with the DCoE team to enhance data processes and build new data tables.
  • Company: Join a forward-thinking company focused on data innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting career advancement opportunities in a supportive team culture.
  • Why this job: Make a significant impact by shaping data solutions in a dynamic environment.
  • Qualifications: Experience in data engineering and strong analytical skills required.

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

Work in conjunction with DCoE team to deliver:

  • Additional stored procedures or notebook to build these extra 230 data items into new DCoE data tables/views
  • An extensible process where newly required data fields could be easily added into config with minimal re-engineering effort
  • Self-documenting code with decent commentary and structure
  • Responsibility for other deliverables including business analysis, documentation, design sign-offs, data model and testing will be covered by DCoE

Sr. Data Engineer employer: Zensar Technologies

Zensar Technologies is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals seeking to make a significant impact in global transformation initiatives. With a strong commitment to employee growth, Zensar offers extensive training and development opportunities, ensuring that team members can advance their careers while working on cutting-edge Salesforce CRM modernization projects. Located in the vibrant UK tech landscape, employees benefit from a dynamic work environment that encourages creativity and teamwork.

Zensar Technologies

Contact Details:

Zensar Technologies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. 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 Zensar Technologies!

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 Sr. Data Engineer at Zensar Technologies.

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 Zensar Technologies.

Apply Directly through Our Website

When you find a suitable opening like Sr. Data Engineer at Zensar Technologies, 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 Sr. Data Engineer

Stored Procedures
Data Modelling
Business Analysis
Documentation
Design Sign-offs
Testing
Self-documenting Code

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 Zensar Technologies, 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 Zensar Technologies. 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 Zensar Technologies

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 Zensar Technologies!

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.