DevOps Engineer -Sotware Engineer

For Rabobank Utrecht, we are looking for a Software Engineer.

Important:

We are looking for 1 FTE. We will close the vacancy before the indicated deadline when we have received enough professionals. Suppliers can offer just one candidate for this position. Multiple candidates per supplier are not allowed; all candidates will be rejected. Please clearly indicate in the motivation field whether the candidate has any planned vacation or special leave during the duration of this assignment. Please provide in the CV whether an internal reference can be requested. If the candidate is currently working at, or has recently worked at, Rabobank, we would appreciate receiving the name and job title of the relevant team lead. Language: English mandatory. ZZP Allowed: No.

Job Overview / Purpose:

As a Software Engineer in the Global Storage team, you design, build and maintain secure, scalable data ingestion and archiving solutions for structured and unstructured data. You develop automated ETL pipelines and searchable archives for decommissioned applications and regulatory data, using technologies such as Python or PowerShell, C#/.NET or JavaScript, React and Hitachi Content Platform. Working with business and technical stakeholders, you test, document and continuously improve solutions that support compliant and efficient data onboarding.

Context of Job:

Engineering & Enterprise Tech is responsible for delivering stable, high-quality, secure and cost-efficient infrastructure solutions for Rabobanks businesses. This incorporates design, implementation, security and support of, amongst others, data centre networks, server capacity, data centres, workplace (desktop, laptop, mobile), etc.

Key Responsibilities and Accountabilities:

The key areas of responsibility are:

Based on demand, build ETL architecture transferring structured and non-structured data into a Hitachi Content Platform (HCP) Object store as the back end for archiving. Build bespoke archives of data to satisfy point business solutions such as regulation and compliance. Build a generic framework to ingest decommissioned application data into searchable archives such that applications may present their data from, e.g., a database in a pre-determined format to be ingested in a searchable form. Deliver a standard interface for searching such archives securely. Anticipate demand and innovate existing solutions. Code, test, document, and maintain standardised, automated data pipelines. Help design and build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources. Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Responsible for testing, documentation and handover to the customer. Delivery to meet aggressive timescales. Communication of progress and risk to the team.

Professional / Managerial Autonomy:

The job holder may have autonomy within these areas and be able to make decisions and achieve objectives with limited oversight within the prescribed guidelines for this role.

Business Knowledge / Technical Skills:

Experience building and optimizing big data data pipelines, architectures and data sets. Strong analytic skills related to working with both structured and non-structured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.

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