DataOps Engineer: Reliability, Pipelines & Observability in London

DataOps Engineer: Reliability, Pipelines & Observability in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Ensure data pipeline reliability and collaborate with diverse teams.
  • Company: Dynamic iGaming company in Greater London focused on innovation.
  • Benefits: Inclusive culture, opportunities for personal growth, and competitive salary.
  • Other info: Great career development opportunities in a supportive environment.
  • Why this job: Join a vibrant team and make an impact in the exciting world of iGaming.
  • Qualifications: Over 2 years in Data Ops, strong SQL skills, and CI/CD familiarity.

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

Team Creation, an iGaming company in Greater London, is seeking a highly motivated DataOps Engineer. In this role, you will ensure the reliability and quality of data pipelines while collaborating with cross-functional teams.

We are looking for candidates with over 2 years of experience in Data Ops, strong SQL skills, and familiarity with CI/CD workflows. Join us for a dynamic work environment that values personal growth and inclusivity.

DataOps Engineer: Reliability, Pipelines & Observability in London employer: Team Creation

At Team Creation, we pride ourselves on being an excellent employer by fostering a dynamic and inclusive work culture that prioritises personal growth and collaboration. Located in the vibrant Greater London area, we offer our DataOps Engineers competitive benefits, opportunities for professional development, and the chance to work with cutting-edge technology in the exciting iGaming industry.

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Contact Details:

Team Creation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DataOps Engineer: Reliability, Pipelines & Observability in London

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 Team Creation!

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 DataOps Engineer: Reliability, Pipelines & Observability at Team Creation.

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 Team Creation.

Apply Directly through Our Website

When you find a suitable opening like DataOps Engineer: Reliability, Pipelines & Observability at Team Creation, 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 DataOps Engineer: Reliability, Pipelines & Observability in London

Python
Communication Skills
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration

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 Team Creation, 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 Team Creation. 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 Team Creation

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 Team Creation!

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.