Data Engineer
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We are on digital transformation journey, with a vision to create seamless claim handling process for our customers.
Join us in creating value through data by exploring modern data stack to deliver value.
About the Department | Be part of a newly formed unit
You will be an essential part of ‘Data & BI’ unit in Claims Denmark and Tryg’s extended Data & Analytics community. The department comprises of dedicated data professionals with diverse backgrounds, who all play a vital role in catering to Claim’s strategic ambitions. With a focus on highly amplified data architecture, the team works to ensure data is accessible, usable and valuable to everyone.
As we are newly formed unit and growing team, you will have chance to influence our culture, working tools and get a large personal responsibility with wide opportunities for learning and growing your knowledge.
About the Job | Data Engineer
We are on a journey to transform the culture of working with data in our Claims unit. As we transform systems, the ease of compliant data access in near real time, becomes necessity. To enable this, we are getting skilled data professionals closer to the Claims business, to work along with the Data & Analytics unit to accelerate our journey.
In your role as our new Data Engineer, you will get full responsibility for implementing claim domain data sources in the data layer. The work comprises disciplines such as:
Through collaboration with our DevOps team you will likely also be exposed to, Docker, K8s, Operators, CI Pipelines
Collaboration is key, as your daily activities will occur in close cooperation with stakeholders throughout the Data & Analytics unit and Claims.
About you
You most likely have a background in a data related field. You are used to analyzing and understanding large datasets. Solid experience with data analysis or java development is preferred. Up until now you might only have worked with batch processing, but want to expand your skillset with streaming – a journey we look forward accompanying you on! Prior work exposure with Insurance domain is advantage but not a pre-requisite. As our data engineering tech stack is heavily focused around Kafka and streaming, it is an advantage if you can demonstrate experience with some of these.
Great curiosity and an eternal willingness to invest in your own development are important to us. We are constantly looking for smarter ways of working and your contribution is important.
Tryg has teams in several countries, so a natural curiosity and understanding of cultural differences are expected to succeed in the role.
Curious?
If you recognize yourself in the description, please send your application as soon as possible. Application deadline: April 28th 2023. Interviews are held on an ongoing basis.
If you have questions or want to know more, you are welcome to contact Data Enablement & Automation lead, Shaji Balakrishnan at [email protected].
We look forward to receive your application.
Join us in creating value through data by exploring modern data stack to deliver value.
About the Department | Be part of a newly formed unit
You will be an essential part of ‘Data & BI’ unit in Claims Denmark and Tryg’s extended Data & Analytics community. The department comprises of dedicated data professionals with diverse backgrounds, who all play a vital role in catering to Claim’s strategic ambitions. With a focus on highly amplified data architecture, the team works to ensure data is accessible, usable and valuable to everyone.
As we are newly formed unit and growing team, you will have chance to influence our culture, working tools and get a large personal responsibility with wide opportunities for learning and growing your knowledge.
About the Job | Data Engineer
We are on a journey to transform the culture of working with data in our Claims unit. As we transform systems, the ease of compliant data access in near real time, becomes necessity. To enable this, we are getting skilled data professionals closer to the Claims business, to work along with the Data & Analytics unit to accelerate our journey.
In your role as our new Data Engineer, you will get full responsibility for implementing claim domain data sources in the data layer. The work comprises disciplines such as:
- Data analysis
- Understanding of the ACORD data model
- Implementation of streaming ETL
- Data quality tests
- Our tech stack is ever growing as we evolve and stay up to date with the technology As a Data Engineer you will mainly be exposed to:Java (Kstreams) – Java, in combination with our customer framework, is the main language used in all our data pipeline.
- SQL – This is purely used for analysis, as all pipeline work will be pure streaming
- Kafka – Kafka is used as the streaming platform. Our pipelines work purely on Kafka; both input and output
- GIT – Everything must go into a Git repository, and together with our DevOps team we are moving toward a GitOps setup.
- GraphQL – Used as an integration layer to other systems to read data from
Through collaboration with our DevOps team you will likely also be exposed to, Docker, K8s, Operators, CI Pipelines
Collaboration is key, as your daily activities will occur in close cooperation with stakeholders throughout the Data & Analytics unit and Claims.
About you
You most likely have a background in a data related field. You are used to analyzing and understanding large datasets. Solid experience with data analysis or java development is preferred. Up until now you might only have worked with batch processing, but want to expand your skillset with streaming – a journey we look forward accompanying you on! Prior work exposure with Insurance domain is advantage but not a pre-requisite. As our data engineering tech stack is heavily focused around Kafka and streaming, it is an advantage if you can demonstrate experience with some of these.
Great curiosity and an eternal willingness to invest in your own development are important to us. We are constantly looking for smarter ways of working and your contribution is important.
Tryg has teams in several countries, so a natural curiosity and understanding of cultural differences are expected to succeed in the role.
Curious?
If you recognize yourself in the description, please send your application as soon as possible. Application deadline: April 28th 2023. Interviews are held on an ongoing basis.
If you have questions or want to know more, you are welcome to contact Data Enablement & Automation lead, Shaji Balakrishnan at [email protected].
We look forward to receive your application.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 13.4.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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