Engineers the integrations that move and sync data across systems and APIs.
Entry
Senior
Coding
High
Key skills
Career overview
The Data Integration Engineer designs and builds the integrations that move and synchronise data across systems, APIs, message queues and warehouses. They handle batching, streaming, schema evolution and reliability. The role leads to Data Engineer, Data Architect or Integration Architect positions.
Main responsibilities
- Develop ETL and data integration flows
- Build reliable data ingestion pipelines
- Build integrations between systems and APIs
- Design and document REST APIs
- Guarantee data quality, freshness and lineage
- Build and maintain CI/CD pipelines
- Monitor platform health, alerts and dashboards
- Keep technical documentation up to date
- Prepare and execute change requests in production
- Mentor junior team members and review their work
Technical skills
Technologies
Education level
Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.
High School / Bac
Less common
Bac+2 (2-year degree)
Less common
Bac+3 (Bachelor)
Less common
Bac+5 (Master / Engineering)
Common entry point
Experience & coding level
Experience level
Coding level
Useful certifications
Certifications are never mandatory. They are one way among others to prove a skill.
- Confluent Certified Developer for Apache Kafka
- Microsoft DP-203 Data Engineer
- Google Professional Data Engineer
Where can this career take you?
Multiple paths are possible. Click a role to open its profile.
Direct progression
Possible branches
Where can you go next?
Realistic next career moves, with compatibility and a transition roadmap for each.
Overlap: 50% · Difficulty: Easy
Skills to learn: SQL, Orchestration (Airflow), Spark / distributed processing
View roadmapWhere can you go from here?
A typical progression built from real career relationships. Click any role to open its profile.
Soft skills
- Problem solving
- Analytical thinking
- Big-picture thinking
- Autonomy
- Clear communication
- Sense of ownership
Common previous careers
Roles that frequently lead into this career.
Overlap: 34% · Difficulty: Medium
Skills to learn: API & streaming (Kafka), ETL / ELT, Schema evolution
View roadmapRelated resources
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Data Integration EngineerData Engineer
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