Nexeo Belgium
is a consulting company supporting clients in banking, finance, insurance, and public sectors throughout their digital transformation projects.
We are currently looking for a
Data Engineer
to join a cross-functional Data \& Analytics team within the IT department of a leading organization.
Mission Context
The Data \& Analytics team is responsible for building and maintaining large-scale data platforms that enable business insights, reporting, and advanced analytics.
As a Data Engineer, you will design, develop, and optimize robust data pipelines, ensure high-quality data delivery, and collaborate closely with Data Scientists, Business Analysts, and IT teams to support data-driven decision making.
Key Responsibilities
Design, develop, and maintain
ETL/ELT pipelines
for large-scale databases (Oracle, SybaseIQ, SQL Server, etc.).
Develop and maintain
data processing applications
using
Java, Python, or Spark
.
Ensure
data quality, consistency, and integrity
across all platforms.
Collaborate with
Business Analysts and Data Scientists
to translate business requirements into technical solutions.
Optimize
batch processing, scheduling, and data workflows
for performance and scalability.
Implement
monitoring, alerting, and automation
for data pipelines.
Support
data governance, security, and compliance
initiatives (e.g., GDPR).
Troubleshoot complex data issues and implement continuous process improvements.
Profile
Languages
English – Fluent (mandatory)
Dutch or French – Fluent or good understanding
Education
Bachelor’s or Master’s degree in
Computer Science, Engineering, Mathematics, Statistics, or related field
, or equivalent professional experience in data-intensive roles.
Experience \& Technical Skills
Mandatory
3+ years of experience as a
Data Engineer
or in a similar data-intensive role.
Strong expertise in
ETL tools
(Informatica, Talend, DataStage, etc.).
Experience with
large-scale databases
and
SQL optimization
.
Proficient in
programming languages
: Java, Python, or similar.
Knowledge of
data pipeline scheduling, monitoring, and performance tuning
.
Preferred
Experience with
big data platforms
(Hadoop, Spark, Hive, etc.).
Familiarity with
cloud data platforms
(AWS, Azure, GCP).
Knowledge of
CI/CD, DevOps practices
, and automation of data workflows.
Experience in
banking, finance, or insurance
is a plus.
Soft Skills
Strong analytical, problem-solving, and troubleshooting skills.
Autonomous, proactive, and results-oriented.
Excellent communication and collaboration skills in cross-functional teams.
Ability to manage multiple priorities in a fast-paced environment.
This is a high-impact opportunity to
work on large-scale data platforms, enable advanced analytics, and collaborate with a team of experts
to deliver reliable and high-quality data solutions.
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