Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data pipelines using Apache Airflow, Snowflake, and Kafka.
- Company: Join a dynamic tech company in beautiful Malta with a collaborative culture.
- Benefits: Enjoy 24 days of vacation, daily meals, gym subsidies, and transport allowances.
- Other info: Relocation assistance available; excellent career growth opportunities await!
- Why this job: Make a real impact by architecting scalable data solutions in a vibrant environment.
- Qualifications: Proficiency in Python, SQL, and experience with data engineering roles required.
The predicted salary is between 36000 - 60000 £ per year.
This position is office based for our office in Birkirkara, Malta. We can provide relocation assistance if you're outside of the city or country.
We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka. This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data.
- Develop and implement data models to support business requirements, optimizing for performance and scalability.
- Design, build, and maintain scalable data pipelines using Apache Airflow.
- Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems.
- Integration to third party databases and APIs.
- Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines.
- Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.
Proficiency in Python, SQL, and experience with data manipulation and transformation; Data warehouse and data modelling techniques; Experience in designing, building, and maintaining complex data pipelines using Airflow; Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift; In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.
We offer excellent benefits, including but not limited to:
- 24 days of vacation per year.
- Daily Breakfasts and Friday lunches in the office.
- Snacks in the Office.
- Transport Allowance of up to 150 euro paid quarterly (public transport or taxi).
- Gym Subsidies for office building gym.
- Tennis or Paddle Training sessions reimbursement, up to 100 EUR monthly.
- Discount for Premium subscription for Cloudigo.
- Discounts at partners of the company.
- Annual salary reviews.
- Regular office & team building events.
Bold moves start here. Make yours. Apply today!
Data Engineer (Relocation to Malta Required) employer: BrainRocket
Contact Detail:
BrainRocket Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Relocation to Malta Required)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in the industry. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We know you’re great with Apache Airflow and Kafka, so be ready to showcase your expertise with real-world examples.
✨Tip Number 3
Don’t forget to ask questions during the interview! It shows we’re genuinely interested in the role and helps us understand if the company is the right fit for us.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer (Relocation to Malta Required)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Airflow, Snowflake, and Kafka. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Be specific about your proficiency in Python, SQL, and data modelling techniques. We love seeing concrete examples of how you've designed and maintained data pipelines in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at BrainRocket
✨Know Your Tech Stack
Make sure you’re well-versed in Apache Airflow, Snowflake, and Apache Kafka. Brush up on your Python and SQL skills too! Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering roles. Think about how you designed and implemented scalable data solutions or optimised data pipelines. This will demonstrate your ability to tackle real-world problems.
✨Understand the Business Needs
Familiarise yourself with the company’s business model and how data plays a role in it. Be prepared to discuss how you can align your data engineering work with their goals, especially in terms of performance and scalability.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data architecture they currently use, and how they measure success in data projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.