
Data Engineer
1 week ago
Mertens - MalamTeam
is looking for a
Data Engineer
to join a business-focused
Data & Observability unit
within a leading financial organization. This team supports the bank's digital products, including mobile apps and web platforms, by designing and deploying scalable, maintainable
data pipelines
that enable efficient logging, error handling, and real-time data enrichment.
In this role, you will:
- Design and deploy
large-scale data pipelines
for real-time logging, systematic error handling, and data enrichment. - Collaborate with
Product Managers, Application Developers, Architects, and Infrastructure teams
to define effective monitoring models, map user journeys, and generate actionable business insights using observability tools like
Splunk
. - Consume and design observability data to improve user experience and system insights.
- Ensure high performance, maintainability, and scalability of data solutions from implementation to production.
Requirements:
- Minimum
3 years of hands-on experience with Splunk
. - Strong skills in
SPL, data parsing, dashboard creation, macros, and performance tuning
. - Experience working with
event-driven systems
such as
Kafka
and
REST APIs
. - Deep understanding of
structured and semi-structured data
(JSON, XML, Logs). - Strong
Python or Bash scripting
skills. - Familiarity with
CI/CD processes
using tools like
Git and Jenkins
. - Experience with
data modeling, enrichment logic, and system integration
. - Ability to work independently and lead
scalable, production-ready solutions
.
Why Join Us?
- Work in a cutting-edge
Data & Observability team
supporting digital banking products. - Gain experience with
real-time big data systems
and modern observability tools. - Opportunity to design and implement scalable solutions impacting user experience and business decisions.
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