Job Description
JOB OVERVIEW / ROLE PURPOSE
We are seeking a Senior Data Engineer with expertise in cloud data platforms, big data pipelines, and advanced analytics. In this role, youll architect and maintain scalable, high-performance data ecosystems that power machine learning models, BI dashboards, and AI-driven decision-making.
Youll combine hands-on engineering with strategic leadership, mentoring junior engineers, guiding best practices, and collaborating with data scientists, software engineers, and business stakeholders. This role is ideal for someone who thrives in cloud-native environments (AWS preferred) and wants to make a real impact with data.
cloud data platforms
big data pipelines
real-time and batch data
AI-driven decision-making
machine learning workflows
ETL / data ingestion
Power BI, Tableau
AWS data engineer jobs
MINIMUM REUIREMENTS
Qualifications:
- Degree or diploma in Computer Science, Information Systems, Engineering, or a related field.
- AWS certifications or equivalent practical expertise.
Experience:
- 4 7 years of hands-on data engineering
- Experience leading or mentoring junior engineers.
- Advanced proficiency in Python and SQL.
- Strong experience with BI tools like Power BI for data storytelling.
- Strong database design knowledge and experience with data warehousing techniques and modelling approaches.
- Experience building and maintaining cloud-based data architecture (AWS preferred).
- Hands-on experience with data ingestion from, amongst others: Microsoft SQL Server, Oracle, MongoDB, Amazon S3 and other AWS data services, HTTP APIs, SFTP, and various file systems.
- Proficiency with Git, CI/CD pipelines, and Agile methodologies.
- Hands-on designing and development of complex data pipelines from multiple sources into a central data platform/lakehouse.
- Familiarity with machine learning workflows and supporting analytics teams.
- Strong problem-solving, analytical, and communication skills
- Ability to work independently and take initiative on projects
- Business acumen and ability to translate technical work into business impact
WHAT YOU WILL DO!
Data Engineering & Pipeline Development
- Design, build, and optimize cloud-native, big data pipelines (AWS, Python, SQL).
- Develop real-time and batch data pipelines for analytics and AI/ML applications.
- Ensure data quality, scalability, and governance across all pipelines.
Data Platform Design & Architecture
- Contribute to the architecture of cloud data platforms, data lakes, and lakehouses.
- Implement automation, monitoring, and CI/CD pipelines for modern data workflows.
- Integrate data from multiple structured and unstructured sources (SQL Server, Oracle, MongoDB, APIs, AWS S3, file systems).
Leadership & Mentorship
- Lead by example provide technical mentorship to junior engineers.
- Champion best practices in data engineering, testing, and DevOps.
- Conduct code reviews and encourage knowledge sharing.
Collaboration & Business Impact
- Partner with data scientists, BI analysts, and business teams to deliver actionable insights.
- Translate complex business requirements into technical solutions.
- Develop and maintain data products, self-service analytics, and BI dashboards (Power BI preferred).
Continuous Innovation
- Stay ahead of the curve on AI, machine learning workflows, and modern data tools.
- Explore opportunities to implement new technologies in big data, real-time streaming, and cloud data services.
- Drive a data-first culture across the organisation.
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