---
title: "Talend | Skills We Assign For | Azendo"
description: "Talend for data integration — generated jobs, version control, and the Azendo roles assigned for it."
url: "https://azendo.co/skills/talend/"
---

[Skills](https://azendo.co/skills/) Data pipelines 

# Talend.

Talend is a data integration platform with a graphical job designer that generates Java. It covers ETL, data quality and governance, and is used both in cloud-managed and self-hosted forms.

## Where Talend fits on a long engagement.

Generating Java from a visual design is Talend's distinguishing property. Jobs run as ordinary Java, which means they can be deployed anywhere a JVM runs and can call arbitrary Java where the visual components run out — a genuinely useful escape hatch that purely declarative tools lack.

Visual jobs are difficult to review. A diff of a Talend job is a diff of generated XML, which tells a reviewer very little about what actually changed. That pushes teams toward reviewing in the designer rather than in the repository, which weakens the review discipline applied to everything else.

## What an assigned team does with Talend.

Jobs built graphically over years accumulate the same debt as code, with less visibility. Duplicated subjobs, components configured inconsistently, and logic embedded in a single component nobody opens are all normal and all invisible in a listing.

Bringing that under the same standards as application code is ordinary discipline, held by the assigned specialists as part of an agreed [committed monthly capacity](https://azendo.co/pricing/).

## What we use Talend for.

* Java where the components stop Custom logic dropped into a generated job, without leaving the platform.
* Jobs deployed like any artefact Generated code running wherever a JVM does, inside normal deployment tooling.
* Review discipline applied to visual jobs Standards and documentation that survive the fact that diffs are unreadable.

## How Talend capacity is assigned.

Talend work is assigned inside data engineering capacity, with generated jobs held to the same review and deployment standards as application code.

## Roles we assign Talend for

* [ETL Developer Data engineering](https://azendo.co/services/data-engineering/etl-developer/)

## Service lines it sits in

* [Data engineering](https://azendo.co/services/data-engineering/)

Capacity is agreed as a committed monthly capacity across a discipline, not per skill.

## Related in data pipelines

* [version-controlled transformations — skill we assign for](https://azendo.co/skills/version-controlled-transformations/)
* [Jinja — skill we assign for](https://azendo.co/skills/jinja/)
* [Airflow — skill we assign for](https://azendo.co/skills/airflow/)
* [dbt — skill we assign for](https://azendo.co/skills/dbt/)
* [Fivetran — skill we assign for](https://azendo.co/skills/fivetran/)
* [Databricks — skill we assign for](https://azendo.co/skills/databricks/)
* [Spark — skill we assign for](https://azendo.co/skills/spark/)
* [Flink — skill we assign for](https://azendo.co/skills/flink/)

## Tell us what your roadmap needs Talend for.

A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.

[All skills we assign for](https://azendo.co/skills/)