- Lead data & analytics projects and partner with our business functions and senior management
- Design, build and maintain scalable data and ETL processes to collect, process, and analyze large volumes of structured and unstructured data from various sources.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions and data analytics workflows.
- Develop and implement data models, algorithms, and analytical solutions to extract insights and generate actionable recommendations from data.
- Ensure solutions are developed and implemented following standards, using high-quality code, focusing on simplicity, performance, and maintainability.
- Design and optimize data storage solutions and databases to support analytics and reporting requirements.
- Implement data quality assurance processes and data governance best practices to ensure data integrity, accuracy, and consistency.
- Research and evaluate emerging technologies, tools, and frameworks in data engineering and analytics to continuously improve our data infrastructure and analytics capabilities.
- Mentor and coach junior team members, provide technical guidance and leadership, and contribute to the professional development of the team.
- Demonstrable experience working with CI/CD processes for data as well as data testing and monitoring.
- Proficiency in programming languages such as Python, SQL, etc. and experience with data processing frameworks such as Apache Spark, Hadoop, etc.
- Hands-on experience with cloud platforms such as AWS or Azure, and familiarity with related services such as AWS Glue or Azure Data Factory.
- Experience with data modelling and database technologies.
- Strong analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and extract insights to drive data-driven decision-making.
- Excellent verbal and written communication skills, being able to describe complex technical concepts and results in a clear and detailed manner to non-technical audiences.
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Data Engineer - Bratislava, Slovensko - Swiss Re
Popis
About the Role
You will be working as Data Analytics Engineer, closely collaborating with the team and partners across the organisation. You will play a key role in designing, developing, and maintaining our data infrastructure and analytics solutions to empower data-driven insights and decision-making across the organization.
In your role you will be responsible to:
About the Team
We are a highly skilled and diverse team in Bratislava that builds and deliver ground-breaking and robust technological capabilities to generate data-driven insights around the globe. Our passion to learn is what connects us. We love to learn new skills and will support you to do the same We reserve time for studying and organize our own upskilling sessions as well.
While most of your peers and key partners are based in Zurich with representation in Bratislava and Bangalore, the team is composed of an international workforce based in different locations and serving a global customer basis.
About You
We are seeking a passionate person with excellent data engineering skills and expertise in distributed computing frameworks.
The minimum gross monthly base salary for this role is 2 600 EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus.
You are a quick learner and eager to explore the unknown with an ability to build and maintain good working relationships with business partners. You are motivated to work effectively in diverse teams with both technical and non-technical individuals where you act as connector between business and data.
You enjoy teamwork with the ability to take responsibility, be self-reliant and business value oriented while paying attention to detail.
Are you up for the challenge? We are looking forward to hearing from you
About Swiss Re
Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
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Reference Code: 129035