At a Glance
- Tasks: Build and maintain data pipelines, design scalable data solutions, and collaborate with tech teams.
- Company: Join Optimove, a leader in cloud technologies and data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting career growth in a collaborative Agile team.
- Why this job: Make an impact by solving complex data challenges in a dynamic environment.
- Qualifications: B.Sc. in Computer Science, experience with Python, and knowledge of Big Data tools.
The predicted salary is between 50000 - 70000 £ per year.
At Optimove, the Software developer position is a central role in the Tech Org. The Data Engineering (DE) team plays a significant role in the ongoing cloud technologies. The ideal candidate is a Backend developer with a strong technical background in data infrastructure, data architecture design and robust data pipelines building.
Responsibilities:
- Deploy and maintain critical data pipelines in production.
- Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
- Design infrastructural data services (micro-services) and build scalable data solutions.
- Work in Agile process with Product Managers and other tech teams.
- End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product.
- Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product.
- Explore and implement new data technologies to support Optimove’s data infrastructure.
Requirements:
- B.Sc. in Computer Science or equivalent.
- Experience with programming languages (preferably, Python) – a must!
- Experience with “Big Data” environments, tools, and data modeling (preferably in a production environment).
- Developing micro-services architecture.
- Familiarity with Snowflake and MSSQL.
- Quick, self-learning and good problem-solving capabilities.
- Good communication skills and collaborative.
- Process and detail-oriented.
- Passion to solve complex data problems.
- Experience with Docker and Kubernetes.
Desired Experience:
- GCP services.
- PubSub/Kafka.
- Airflow.
Backend Developer - Data-Oriented employer: Optimove
At Optimove, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Backend Developer in our Data Engineering team, you will have the opportunity to work with cutting-edge cloud technologies while collaborating closely with Product Managers and tech teams in an Agile environment. We offer robust professional growth opportunities, competitive benefits, and a supportive atmosphere that encourages creativity and problem-solving, making Optimove an exceptional place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Developer - Data-Oriented
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and micro-services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with tools like Docker, Kubernetes, and Snowflake.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates like you. Plus, it shows your enthusiasm for joining our team at Optimove.
We think you need these skills to ace Backend Developer - Data-Oriented
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Backend Developer role. Highlight your experience with data infrastructure, programming languages like Python, and any relevant projects that showcase your skills in building robust data pipelines.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs at Optimove. Don’t forget to mention your experience with micro-services and any tools like Snowflake or Docker.
Showcase Your Problem-Solving Skills:In your application, give examples of complex data problems you've solved in the past. We love candidates who can demonstrate their quick learning and problem-solving capabilities, so don’t hold back on sharing those success stories!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Optimove
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Snowflake, and MSSQL. Brush up on your knowledge of micro-services architecture and Big Data tools, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you approached the issue, the technologies you used, and the outcome. This will demonstrate your analytical skills and passion for data.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in an Agile environment, be ready to talk about your experience with Agile processes. Highlight any past collaborations with Product Managers or tech teams, and how you contributed to successful project outcomes.
✨Ask Insightful Questions
Prepare a few thoughtful questions about Optimove’s data infrastructure and future projects. This shows your genuine interest in the company and the role, plus it gives you a chance to assess if the company aligns with your career goals.
