Senior Data Engineer FEC Data Layer

This is what we offer you

• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

You will get a responsibility with impact, one you will shape as Data engineer through the realisation of crucial data products. Your position finds itself in an environment which helps to create data products which will be used for FEC (Financial & Economic Crime). Your responsibilities contribute to the decision-making process up to the highest level in the bank.

You & your job

Your job focusses on extracting value from the customer and transaction data and convert it into generic FEC Data Products. Working together with a team of data engineers to create the FEC Data Layer. Your team is part of an area which helps to create data products for all FEC Business like Transaction Monitoring, Sanctions and Customer Due Diligence. All these responsibilities contribute to the decision-making process up to the highest level in the bank.

Therefore we help reducing criminal activities and can be regarded as the gatekeepers of the financial system. The FDL team is very collegial and results driven!

Practical examples

• Development of generic and business line specific data products
• The data products are developed and deployed in Azure Data Factory or Databricks
• The data products are published on to the Global Data Platform

Facts & Figures

• International & diverse team
• You serve 8000 colleagues with FEC Data Products
• 49000+ Rabobank colleagues worldwide

Top 3 Responsibilities

• Designing and developing data products in the Microsoft Azure stack such as Azure Data Factory, Databricks, Azure DevOps deployment pipelines, Airflow, et cetera
• Working together on innovative data products for FEC business issues
• Creating scalable data products to boost data-driven working

Scope

Data integration from GDP (F.E. datasource Pega WFM) and creation of FEC Data Products which will be used by all FEC Applications that consume data from GDP on a daily basis

Together we achieve more than alone

Collaboration is at the heart of everything we do. The team brings diverse and talented people together to perform the best they can.

You will be part of a very dynamic and international team including highly motivated team members. Everyone within the FEC Data Layer team is dedicated to make the bank more data-driven by delivering FEC data Products. Cooperation is our way of working; as 1 driven and data-minded team within Rabobank. Talking about Rabobank: we are a Dutch bank, active in 38 countries for our 9.500.000+ customers. With these clients, our members and partners, we work side by side towards a world in which everyone has enough, healthy food. Closer to home, we are working towards a country in which happy people live, work and do business.

You will be working on Data Ingestion and Data Product Pipelines. These pipelines will be built with Azure Data Factory with Data flow and some in some cases Databricks when there is complex data. Airflow and metadata API configuration is needed for consuming and publishing data from and on to the Global Data Platform (GDP).

You will also support in maintaining and monitoring the FEC Data Layer applications which publish data on to the GDP or provide data to customers via API's.

You & your talent

• Bachelor's or master's degree in e.g. computer sciences
• 5+ years’ experience as a Data Engineer in a complex IT landscape
• Experience in or affinity with software development in the financial sector, the payment sector in particular is preferable
• Great analytical and problem-solving skills
• Very good communication and cooperation skills
• Agile mindset and experience in working agile/scrum teams
• Fluent in English
• Experienced in working with, SQL and developing ETL solutions
• Experienced in working with Azure data platform. For example ADF, Databricks, Synapse, Azure DevOps
• Experienced in testing pipelines which are built on Azure with system and regression tests
• Experienced with OPS work like monitoring and solving incidents
• Knowledge of Apache Airflow
• Knowledge of data modelling and data management is preferable
• Knowledge of Python Spark is preferable
• Knowledge of client and payments data is preferable