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Data Engineer (Data engineering, Oracle, Java, Linux)

Waarom Werken bij Qualogy?

Data Engineer (Data engineering, Oracle, Java, Linux)

Only applications from fluent Dutch-speaking candidates will be considered.

For our client in Amsterdam, we are looking for a IT Engineer (Data engineering, Oracle, Java, Linux).

About our client

Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, Omni-channel distribution strategy and international network.

We are transforming rapidly towards a top-notch IT company with a Software Craftsmanship culture, incorporating FinTech start-up mentality and financial innovation. We are end-to-end agile, work in multidisciplinary teams and use cutting edge technology. This enables us to offer our customers the best possible service and respond to rapidly changing customer demands.

Mortgages

A mortgage is one of the most important financial decisions in the life of our customers. Our purpose: we offer customers financial and emotional stability when purchasing their dream house and offer a carefree living afterwards. We provide them with excellent advice and exceed customers and intermediary expectations.

The team

We are looking for someone with an easy-to-work-with, mature and no-nonsense mentality. Someone who is an open and honest communicator, who values working as part of a team, who is aware of developments and trends in the industry and is driven by efficient, lean and high quality solutions. We are passionate about data and delivering the best product, to service our data consumers both within and outside the department.

Roles, responsibilities

• design, development and operation of a new datastore to support the exchange of Mortgages data.

• administration of IT-Risk & Security controls and participation in audits.

How to succeed

• a good communicator in English (verbal, written & presentation).

• 4 years or more of data engineering, data quality, data integration patterns and techniques.

• experience in Agile / Scrum or Kanban.

• analytical (understanding complexity and think from the impact point of view not just solving problem directly).

• 4 years or more Oracle RDBMS, SQL, PL/SQL.

• Java backend development.

• Linux and scripting.

Bonus skills and experience

• Java API development.

• Kafka Connect, Kafka Schema Registry, Kafka Streams API.

• ICHP/Kubernetes, Docker.

• knowledgeable of controlling IT-Risk and Security Standards in banking industry.

• identifying, diagnosing, troubleshooting and resolving production issues by using a range of monitoring, test and alerting tools (Configuration, change, incident and problem Management).

• build & deployment process automation (Azure DevOps, Ansible).

• being able to automate and execute test cases.

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    Data Engineer (Data engineering, Oracle, Java, Linux)

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