Ligadata

Junior Data Engineer

Amman, Jordan

Live, first seen by us 47 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full Time - Jordan
From the employer’s posting

Before you apply

New graduates: Entry levelJunior Data Engineer

What you’ll work on

Full posting

Develop and maintain ETL/ELT data pipelines
Write and optimize SQL queries for processing, validation and analysis
Monitor pipelines and help troubleshoot job failures and production issues
Perform data validation, reconciliation and data-quality checks

From the employer’s posting

Develop and maintain ETL/ELT data pipelines.

Write and optimize SQL queries for data processing, validation, and analysis.

Monitor data pipelines and assist in troubleshooting job failures and production issues.

Perform data validation, reconciliation, and data-quality checks.

What you’ll bring

All qualifications

Core experience

1–3 years of experience in data engineering, big data or software engineering
Good knowledge of SQL and relational database concepts
Bachelor's degree in Computer Science, Engineering, IT or related field

Qualification wording

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

Good knowledge of SQL and relational database concepts.

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

Education & alternatives

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.

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Posting record

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Status in our records: Live
First seen by us: Sep 18, 202647 days ago
Recorded sightings: 30
Last seen by us: Nov 3, 2026

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

How this job compares

Time since we first saw it

Day 47

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Ligadata is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

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

Where the posting names them

- 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.

- 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 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

- 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

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.

Source details

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