At a Glance
- Tasks: Design and optimise data platforms on Azure, ensuring reliability and performance.
- Company: Join a purpose-driven company with a diverse team of over 130,000 associates.
- Benefits: Competitive salary, bonuses, and access to Mars University for continuous learning.
- Other info: Exciting opportunity for growth in a dynamic tech landscape.
- Why this job: Make a real impact on pet care data while driving innovation in a collaborative environment.
- Qualifications: Experience in data platform engineering and proficiency in Azure and infrastructure as code.
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 employer: Mars, Inc.
At Mars, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work environment where innovation thrives. As a Data Platform Engineer, you will benefit from best-in-class learning and development opportunities through our in-house Mars University, alongside a competitive salary and benefits package. Join our diverse global team and make a meaningful impact on our Petcare data and analytics platform while contributing to a purpose-driven company dedicated to building a better world for pets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure infrastructure as code. This gives potential employers a tangible look at what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex concepts in simple terms, as you'll need to collaborate with both technical teams and business users. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at StudySmarter.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Platform Engineer role. Highlight your experience with Azure, infrastructure as code, and any relevant tools you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've designed or optimised data infrastructure. This gives us a clear picture of your hands-on experience and how you can contribute to our team. Don't be shy about sharing your successes!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how you can drive innovation at StudySmarter. We love seeing enthusiasm and a personal touch in applications.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen on joining our dedicated global team!
How to prepare for a job interview at Mars, Inc.
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the specific tools mentioned in the job description, like Databricks and Azure Data Factory. Being able to discuss how you've used these tools in past projects will show that you're not just a theoretical expert but someone who can apply their knowledge practically.
✨Showcase Your Infrastructure as Code Skills
Since infrastructure as code is a key part of this role, be prepared to discuss your experience with Terraform and Azure Resource Manager templates. Bring examples of how you've automated processes in previous roles, and if possible, share any challenges you faced and how you overcame them.
✨Communicate Complex Ideas Simply
You’ll need to explain complex platform concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely. Consider using analogies or simple terms to explain intricate ideas, which will demonstrate your communication skills and ability to collaborate effectively.
✨Stay Current with Industry Trends
The data engineering field is always evolving, so it’s crucial to stay updated on emerging technologies and best practices. Be ready to discuss recent trends or tools you've learned about, and how they could potentially benefit the company. This shows your passion for the field and your commitment to continuous learning.
