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Senior Data Integration Engineer (Infosphere Datastaging)

Added
1 day ago
Location
Type
Full time
Salary
Not Specified

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Related skills

data engineering etl sql data integration integration
Job Details:
  • Freelance is allowed!

  • Contract: 1 year (open to extend)
  • Hrs/Wk: 36.00

  • Location: Amsterdam

About the role

Our client offers an excellent environment for professionals who enjoy taking initiative and making meaningful impact. You will work with smart, driven colleagues in an informal, international setting where collaboration and continuous improvement are key.

We are looking for a Senior

Data Integration Engineer

who can deliver and maintain IT applications and services that support the organization's information technology strategy.

Our client operates a state-of-the-art Data Lake based on technologies such as IBM InfoSphere (DataStage and Information Governance Catalogue), Oracle Exadata and Cognos, while actively transitioning towards a modern cloud-based data platform.


Your Role

As a Senior Engineer, you will join a Mortgages product team (6–8 people) consisting of Data Engineers and Data Management Experts. You will also work closely with the Product Lead, who sets backlog priorities. Each data squad is responsible for the full lifecycle of its sources—from real-time or batch extraction to delivering Data Marts for reporting. Agile maturity is essential, as the team does not have a dedicated Scrum Master.

Your key responsibilities include:

  • Onboarding ~160 Mortgages Data Files

    into the Data Lake using senior-level DataStage expertise.

  • Designing and building an

    Integration Layer

    and providing architectural guidance to junior engineers.

  • Creating mapping specifications and developing ETL jobs for Mortgages Integration Layer ingestion.

  • Acting with a

    strong sense of ownership

    , working independently with a can-do mindset.


Work Environment

You will work in a multidisciplinary Agile DevOps team within a matrix organization (Spotify model).

The Data Management area uses

Key-Version modeling

, a hybrid of relational and Data Vault methodologies. Data Marts are modeled using

Kimball Dimensional Modeling

, including hands-on use of

Type 3 slowly changing dimensions

.

In collaboration with the product team, you will design, develop, test and deploy IBM Information Server artifacts (primarily DataStage), as well as develop Cognos Analytics frameworks and packages.


Who You Are

You are an enthusiastic and motivated senior engineer who enjoys solving complex data integration challenges. You innovate, automate, and continuously improve, aiming to standardize repetitive work so you can focus on new engineering challenges. You take ownership, deliver reliably, and value a culture where people “take it on and make it happen.”


Qualifications

Required

  • 10+ years as a Data Engineer in comparable environments

  • Strong experience with

    DataStage

    (or similar ETL tooling)

  • Data Modeling (Data Vault, Dimensional Modelling, etc.)

  • Experience with Oracle Exadata, Netezza, SQL Server or similar

  • Experience with

    UAC

    or similar scheduling tools

  • SQL

  • Bash scripting

  • Fluent English communication skills

  • Bachelor's or Master's degree in an IT-related field

Preferred

  • GIT or similar version control systems

  • Experience with Azure pipelines

  • Reporting tools: Cognos Analytics, Business Objects, etc.

  • InfoSphere Information Server Enterprise Edition components

    (eg, Information Governance Catalog)

  • End-to-end data integration delivery (Dev + Ops)

  • Agile development (Scrum/Kanban)

  • Experience in multidisciplinary Agile teams

Nice to Have

  • Experience with cloud platform data tooling (as the organization moves toward a cloud-native data capability)

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