Senior Data Engineer

Soch Tech; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Soch Tech Limited is seeking an experienced Senior Data Engineer to join our growing technology team. You will design, build, and maintain scalable ETL/ELT pipelines and data models to support analytics across client environments.

You will work with Python, SQL and cloud platforms (AWS/Azure/GCP), ensure data quality and security, and contribute to architecture decisions while collaborating with cross-functional teams.

Qualifications

• 5+ years in Data Engineering, Data Integration, or related roles.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT and data integration solutions.
• Build and optimize data pipelines for structured and unstructured data.
• Develop cloud-native data platforms and analytics solutions.
• Design and implement data models for reporting and BI.
• Integrate data from multiple systems, APIs, and third-party applications.
• Ensure data quality, governance, security, and compliance.
• Monitor, troubleshoot, and optimize data processing workflows.
• Collaborate with stakeholders, analysts, and development teams.

Skills

Python

SQL

Cloud platforms

Data warehousing

Distributed systems

CI/CD & IaC

Stakeholder mgmt

Databricks/Spark

Tools

Databricks/Spark/PySpark

Airflow/Prefect

Snowflake

BigQuery

Redshift

Synapse

Job description

Soch Tech Limited is seeking an experienced Senior Data Engineer to join our growing technology team. You will work closely with cross-functional teams to build robust data pipelines, optimize data processing frameworks, and ensure the reliability, security, and scalability of enterprise data solutions. You will contribute to architecture decisions and best practices for data engineering and cloud technologies while supporting digital transformation and modernization initiatives across client environments.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT and data integration solutions.
• Build and optimize data pipelines for structured and unstructured data.
• Develop cloud-native data platforms and analytics solutions.
• Design and implement data models for reporting and BI.
• Integrate data from multiple systems, APIs, and third-party applications.
• Ensure data quality, governance, security, and compliance.
• Monitor, troubleshoot, and optimize data processing workflows.
• Collaborate with stakeholders, analysts, and development teams.

Skill & Experience

• 5+ years in Data Engineering, Data Integration, or related roles.
• Strong proficiency in Python and SQL.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience with data warehousing (Snowflake, Synapse, Redshift, or BigQuery).
• Strong understanding of distributed systems and data processing frameworks.
• Knowledge of CI/CD, version control, and Infrastructure as Code.
• Excellent communication and stakeholder management skills.
• Preferred: Databricks/Spark/PySpark, Airflow/Prefect, data governance, cloud certifications