Data Engineer - SSIS
This is an exciting opportunity for an experienced Data Engineer to join a scaling organisation and play a hands-on role in designing, developing, and optimising enterprise data platforms and integration solutions across the business.
The Role
We are seeking a Data Engineer with strong experience in enterprise data architecture, data integration, and analytics platforms.
You will focus on designing, developing, and maintaining scalable data pipelines and data processing solutions that support operational reporting, analytics, and business intelligence initiatives. You will work closely with technical and business stakeholders to ensure data reliability, accessibility, and performance across multiple systems and platforms.
This role is well suited for someone who enjoys solving complex data challenges, working with large-scale datasets, and contributing to modern cloud-based data ecosystems.
Key Responsibilities
Data Engineering & Platform Development
- Design, develop, and maintain scalable data pipelines for batch and real-time processing
- Build and manage enterprise data architecture and integration frameworks
- Develop ETL/ELT processes and data workflows to support analytics and operational reporting
- Ensure data quality, consistency, governance, and reliability across platforms
Data Integration & Processing
- Develop and maintain SSIS packages and data pipelines
- Implement data integration solutions across multiple enterprise systems and databases
- Work with structured and unstructured datasets across SQL, NoSQL, Vector, and Graph data storage technologies
- Support data migration, transformation, and optimisation initiatives
Cloud & Modern Data Platforms
- Work with cloud-based data platforms such as Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent technologies
- Support the implementation and optimisation of scalable cloud data solutions
- Contribute to data platform modernisation and automation initiatives
Collaboration & Stakeholder Engagement
- Work closely with analytics, engineering, and business teams to understand data requirements and deliver scalable solutions
- Translate complex technical concepts into clear insights for non-technical stakeholders
- Support reporting and business intelligence initiatives across the organisation
Continuous Improvement
- Identify opportunities to improve data architecture, processing efficiency, and workflow automation
- Contribute to best practices around data governance, documentation, and engineering standards
- Stay updated with emerging technologies and trends in data engineering, analytics, and AI
What We're Looking For
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
- At least 2 years of experience in data platforms, data analytics, or related projects
- Proven experience as a Data Engineer with hands-on involvement in enterprise data architecture, including batch and real-time processing
- Strong programming skills in Python, SQL, SAS, or R
- Experience developing and managing SSIS packages and pipelines
- Hands-on experience designing and implementing data models, ETL processes, and data integration solutions
- Experience with at least one major data processing tool such as Informatica, Kettle, Talend, Airflow, or Dolphin
- Experience with cloud-based data platforms such as Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent
- Familiarity with SQL/NoSQL databases and modern data storage technologies including Vector and Graph databases
- Strong analytical and problem-solving skills with the ability to manage large and complex datasets
- High attention to detail and commitment to data accuracy and reliability
- Strong communication and stakeholder management skills
- Ability to work independently and collaboratively within a fast-paced environment
Preferred Qualifications
- Experience working with AI technology stacks or AI-enabled data platforms
- Familiarity with BI and visualisation tools such as Tableau or Power BI
- Prior experience within relevant industry sectors is advantageous
Why this role is exciting
You will:
- Work on enterprise data and analytics projects with real business impact
- Gain exposure to modern cloud and AI-enabled data technologies
- Collaborate with cross-functional technical and business teams
- Contribute to scalable, future-focused data platform transformation
- Grow your technical expertise in a fast-paced, innovation-driven environment
