Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

You will work with senior engineers and cross-functional teams to ensure reliable data processing, data quality, and timely delivery.
Develop and maintain ETL/ELT data pipelines.
Write and optimize SQL queries for data processing, validation, and analysis.

From the employer’s posting

Job Overview As a Junior Data Engineer at Ligadata, you will support the development, maintenance, and monitoring of data pipelines and Big Data solutions. You will work with senior engineers and cross-functional teams to ensure reliable data processing, data quality, and timely delivery. The role requires a good foundation in SQL, Linux, Shell scripting, data analysis, and Big Data technologies, with a strong willingness to learn and troubleshoot within a production data environment.

Responsibilities Develop and maintain ETL/ELT data pipelines. Write and optimize SQL queries for data processing, validation, and analysis.

Develop and maintain ETL/ELT data pipelines. Write and optimize SQL queries for data processing, validation, and analysis. Support data workflows using Apache Airflow.

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
1–3 years of experience in Data Engineering, Big Data, Software Engineering, or a related role.
Good knowledge of SQL and relational database concepts.
Good understanding of Linux and Shell/Bash scripting.
Familiarity with Spark, Presto/Trino, and Apache Airflow.
Familiarity with Kubernetes and containerized environments.

Qualification wording

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

1–3 years of experience in Data Engineering, Big Data, Software Engineering, or a related role.

Good knowledge of SQL and relational database concepts.

Good understanding of Linux and Shell/Bash scripting.

Familiarity with Spark, Presto/Trino, and Apache Airflow.

Familiarity with Kubernetes and containerized environments.

Tools in this posting

Python
Scala
Shell
SQL
Hadoop
Hive
Kafka
Kubernetes
Spark
Java
Bash
Trino
Airflow

Source

- Perform data validation, reconciliation, and data-quality checks. - Develop scripts and automation using Shell/Bash and Python. - Monitor data pipelines and assist in troubleshooting job failures and production issues.

- Familiarity with Kubernetes and containerized environments. - Knowledge of at least one programming language, preferably Python, Scala, or Java. - Basic understanding of ETL/ELT, data warehousing, data quality, and data analysis.

As a Junior Data Engineer at Ligadata, you will support the development, maintenance, and monitoring of data pipelines and Big Data solutions. You will work with senior engineers and cross-functional teams to ensure reliable data processing, data quality, and timely delivery. The role requires a good foundation in SQL, Linux, Shell scripting, data analysis, and Big Data technologies, with a strong willingness to learn and troubleshoot within a production data environment. Responsibilities

- Good knowledge of SQL and relational database concepts. - Good understanding of Linux and Shell/Bash scripting. - Basic knowledge of the Hadoop ecosystem, including HDFS and Hive.

- Develop and maintain ETL/ELT data pipelines. - Write and optimize SQL queries for data processing, validation, and analysis. - Support data workflows using Apache Airflow.

- 1–3 years of experience in Data Engineering, Big Data, Software Engineering, or a related role. - Good knowledge of SQL and relational database concepts. - Good understanding of Linux and Shell/Bash scripting.

- Support data workflows using Apache Airflow. - Work with Big Data technologies such as Hadoop, HDFS, Hive, Spark, Presto/Trino, Kafka, and HBase. - Perform data validation, reconciliation, and data-quality checks.

- Good understanding of Linux and Shell/Bash scripting. - Basic knowledge of the Hadoop ecosystem, including HDFS and Hive. - Familiarity with Spark, Presto/Trino, and Apache Airflow.

- Familiarity with Spark, Presto/Trino, and Apache Airflow. - Basic understanding of Kafka and distributed data-processing concepts. - Familiarity with Kubernetes and containerized environments.

- Work with structured and semi-structured data formats such as Parquet, JSON, CSV, and Avro. - Support applications and data workloads running on Kubernetes (K8s). - Analyze data to identify inconsistencies, anomalies, and operational issues.

- Basic understanding of Kafka and distributed data-processing concepts. - Familiarity with Kubernetes and containerized environments. - Knowledge of at least one programming language, preferably Python, Scala, or Java.

- Basic knowledge of the Hadoop ecosystem, including HDFS and Hive. - Familiarity with Spark, Presto/Trino, and Apache Airflow. - Basic understanding of Kafka and distributed data-processing concepts.

- Write and optimize SQL queries for data processing, validation, and analysis. - Support data workflows using Apache Airflow. - Work with Big Data technologies such as Hadoop, HDFS, Hive, Spark, Presto/Trino, Kafka, and HBase.

Job description

View original posting ↗

Junior Data Engineer - Jordan Office

Job Overview

As a Junior Data Engineer at Ligadata, you will support the development, maintenance, and monitoring of data pipelines and Big Data solutions. You will work with senior engineers and cross-functional teams to ensure reliable data processing, data quality, and timely delivery.

The role requires a good foundation in SQL, Linux, Shell scripting, data analysis, and Big Data technologies, with a strong willingness to learn and troubleshoot within a production data environment.

Responsibilities

Develop and maintain ETL/ELT data pipelines.
Write and optimize SQL queries for data processing, validation, and analysis.
Support data workflows using Apache Airflow.
Work with Big Data technologies such as Hadoop, HDFS, Hive, Spark, Presto/Trino, Kafka, and HBase.
Perform data validation, reconciliation, and data-quality checks.
Develop scripts and automation using Shell/Bash and Python.
Monitor data pipelines and assist in troubleshooting job failures and production issues.
Work with structured and semi-structured data formats such as Parquet, JSON, CSV, and Avro.
Support applications and data workloads running on Kubernetes (K8s).
Analyze data to identify inconsistencies, anomalies, and operational issues.
Participate in code reviews, documentation, and continuous improvement activities.
Collaborate with senior engineers, DevOps, QA, database, and analytics teams.
Use AI-assisted engineering tools to support development, troubleshooting, documentation, and data analysis while validating generated results before use.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
1–3 years of experience in Data Engineering, Big Data, Software Engineering, or a related role.
Good knowledge of SQL and relational database concepts.
Good understanding of Linux and Shell/Bash scripting.
Basic knowledge of the Hadoop ecosystem, including HDFS and Hive.
Familiarity with Spark, Presto/Trino, and Apache Airflow.
Basic understanding of Kafka and distributed data-processing concepts.
Familiarity with Kubernetes and containerized environments.
Knowledge of at least one programming language, preferably Python, Scala, or Java.
Basic understanding of ETL/ELT, data warehousing, data quality, and data analysis.
Familiarity with Git and software-development practices.
Knowledge and practical experience using AI tools such as ChatGPT, GitHub Copilot, or similar tools for engineering tasks.
Good analytical, troubleshooting, and problem-solving skills.
Strong willingness to learn and develop technical skills.
Good communication and teamwork skills.
Self-motivated with a strong sense of ownership.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on ligadata.bamboohr.com. The employer’s form will show what is required.

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Source & posting history

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Pay

No pay amount identified in the saved description.

Location & working pattern

Amman, Jordan

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at ligadata.bamboohr.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Sep 18, 2026
Recorded sightings: 10
Last seen by us: Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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