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Amaris Consulting
as a
Data Engineer for an IT Security & Compliance team
. Become part of an international team, thrive in a integral group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.
WHAT WOULD YOU NEED?
Required profile
Foundational knowledge of
SQL
,
Python
, and
data modelling
Understanding of
ETL/ELT pipelines
and
data-quality principles
Familiarity with
Git
and collaborative software-development practices
Strong
analytical troubleshooting skills
and willingness to learn and grow
Clear communication skills and ability to work in a
multidisciplinary team
(engineers, analysts, product stakeholders)
Degree or equivalent experience in
Data Engineering
,
Computer Science
, or a related field
Useful experience (nice to have)
Experience with
Databricks
,
Spark
,
cloud data platforms
, or
distributed processing
Knowledge of
CI/CD
,
infrastructure as code
,
monitoring
, and
alerting
(e.g. Azure DevOps, Terraform, Azure ARM)
Exposure to
data governance
,
access management
, or
security-domain datasets
Experience with
Power BI
or other analytics and reporting tools




Technological environment you’ll work with:
Azure Databricks, Databricks pipelines and jobs, Databricks Declarative Automation Bundles, Unity Catalog, Databricks SQL, Python, PySpark, Terraform, Azure DevOps, Azure ARM, API, SQL Server, OData, REST API, Claude Code
WHAT WILL YOU DO?
Develop and maintain data pipelines, tables, views, and data transformations
for the IT Security & Compliance data platform
Perform
data-quality, freshness, and completeness checks
to ensure reliable datasets for stakeholders
Monitor pipelines
, investigate failures, and support
incident resolution
to keep the platform stable and performant
Write
maintainable SQL and Python code
with appropriate
tests and documentation
Contribute through
code xqbhyrx reviews
and
Azure DevOps CI/CD practices
, following engineering best practices
Apply platform standards for
security
,
access control
,
metadata
, and
governance
Work closely with
engineers, analysts, and product stakeholders
to translate business requirements into robust data solutions
Support
onboarding and migration of data sources and SCI measures
onto the unified data platform (UDP)
Help improve
automation, observability, reliability, and operational efficiency
of the data platform
Contribute to a
governed data platform
that centralizes common data, enhances discoverability via metadata, and enables
AI-driven interaction
and self-service analytics

📌 Data Engineer (Barcelona)
🏢 Amaris Consulting
📍 Barcelona