At a Glance
- Tasks: Design and optimise data platforms on Azure, ensuring reliability and performance.
- Company: Join a purpose-driven company focused on innovation and making a difference.
- Benefits: Competitive salary, bonuses, and top-notch learning opportunities from day one.
- Other info: Collaborative environment with a global team and excellent career growth potential.
- Why this job: Shape the future of data infrastructure while making a positive impact on pet care.
- Qualifications: Experience in data engineering, Azure, and infrastructure as code is essential.
The predicted salary is between 60000 - 80000 £ per year.
We seek an experienced Data Platform Engineer to join our leads team. As a Data Platform Engineer, you will play a crucial role in managing data platform engineering and core toolsets, with a focus on Azure infrastructure as code. You will ensure our data infrastructure's reliability, scalability, and performance while contributing significantly to our data ecosystem and driving innovation within our organisation.
The opportunity is exciting for a seasoned data engineer or advanced analytics engineer interested in platform and infrastructure to shape our data infrastructure and drive innovation in a dynamic and collaborative environment. If you are a passionate engineer with expertise in Azure and infrastructure pipelines, we encourage you to apply and be a part of our dedicated global team of talented professionals, make a real impact on our Petcare data and analytics platform, and make a better world for pets.
What are we looking for?
- Essential Requirements:
- Proven experience in data platform engineering, including designing, developing, and optimising data infrastructure.
- Proficient in infrastructure as code and DevOps pipelines and scripting such as terraform and bash.
- Knowledge of a broad range of Data PaaS and SaaS tools within Azure, such as Databricks, Azure data factory, Event Grid, Mail Grid, etc. and creating frameworks on top of them.
- Proficiency in programming languages such as Python, Java, or Scala.
- Expertise in Azure cloud services and infrastructure as code (e.g., Azure Resource Manager templates, Terraform) and DevOps Pipelines such as Azure DevOps Pipelines or GitHub Actions.
- Excellent communication skills being able to explain complex platform concepts to both data engineers and business users.
- Nice to Haves:
- Bachelor's or master's degree in computer science, Information Technology, or a related field.
- Experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).
- Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake).
- Knowledge of Inner or Open Source paradigm and way of working.
- Knowledge of Cloud (Azure) Networking and Security Standards.
Key Responsibilities:
- Data Platform Engineering: Contribute to designing, developing, and maintaining our data platform and core toolsets on the Azure cloud. Ensure the platform is highly available, scalable, and performs optimally.
- Data Tools and Frameworks Development: Contribute to developing and implementing data platform tools and frameworks on Azure to support the organisation's data needs. Collaborate with other teams to align data infrastructure with business objectives.
- Collaborate and support platform users: Work alongside other data teams and business users to help understand their requirements of the platform and support in a third-line capability as and when needed.
- Infrastructure as Code: Utilise Azure infrastructure as code practices to automate the provisioning and management of data platform resources. Ensure consistency, repeatability, and efficiency in infrastructure deployment.
- Technology Evaluation: Stay up-to-date with emerging technologies and industry best practices in data engineering and Azure cloud services. Evaluate and recommend new tools and technologies to enhance the data platform's capabilities and efficiency.
What can you expect from Mars?
- Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
- Join a purpose-driven company where we're striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry-competitive salary and benefits package, including company bonus.
Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalised as a result of such a request.
Data Platform Engineer in Suffolk employer: MARS Recruitment
Mars is an exceptional employer, offering a dynamic and collaborative environment for Data Platform Engineers to thrive. With a commitment to innovation and a purpose-driven mission, employees benefit from best-in-class learning and development opportunities, competitive salaries, and a supportive culture that values diversity and inclusion. Join a global team of talented professionals dedicated to making a positive impact on the world of pet care while advancing your career in a cutting-edge data ecosystem.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in Suffolk
✨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 MARS Recruitment!
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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 MARS Recruitment.
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We think you need these skills to ace Data Platform Engineer in Suffolk
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 MARS Recruitment, 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 MARS Recruitment. 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 MARS Recruitment
✨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 MARS Recruitment!
✨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.
