Senior Data Engineer – Enterprise Data Platforms

We are seeking an experienced Senior Data Engineer<\/b> to design, build, and operate enterprise -scale data pipelines and datasets that support advanced analytics, enterprise reporting, and machine learning use cases. You will play a key role in shaping the Enterprise Data Strategy and Common Data Model while working closely with data scientists, analysts, and business stakeholders in an Agile environment. <\/p> Key Responsibilities <\/h2>

Design, build, and maintain datasets and data pipelines for analytics and data science use cases <\/p><\/li>

Prepare, troubleshoot, and optimize data pipelines to ensure reliability, performance, and data quality <\/p><\/li>

Co -design and evolve the Enterprise Data Strategy<\/b> and Common Data Model<\/b> <\/p><\/li>

Implement and operate core Data Platform processes and services<\/b> <\/p><\/li>

Develop and maintain data pipelines tailored for Data Scientists<\/b> and analytics teams <\/p><\/li>

Maintain and govern model JSON schemas<\/b>, metadata, and data definitions <\/p><\/li>

Identify, analyse, and resolve data quality and data consistency issues <\/p><\/li>

Support: <\/p>

Enterprise reporting and analytics <\/p><\/li>

Machine Learning operations (MLOps) <\/p><\/li><\/ul><\/li>

Collaborate with stakeholders across IT, data science, analytics, and business domains using Agile delivery methods <\/p><\/li><\/ul>

<\/div><\/span> Requirements<\/h3>

Proven experience working with Big Data platforms and technologies<\/b>, including: <\/p>

S3, Hive, Spark, Trino, MinIO <\/p><\/li>

Kubernetes (K8S) and Kafka <\/p><\/li><\/ul><\/li>

Strong experience with SQL -based and relational data systems<\/b>, including PL/SQL <\/p><\/li>

Experience handling banking or financial data<\/b>, including governance and regulatory considerations <\/p><\/li>

Hands -on experience with large -scale on -premises Data Lake migrations<\/b> <\/p><\/li>

Integration of Data Science workbenches such as: <\/p>

KNIME, Cloudera, Dataiku (or similar platforms) <\/p><\/li><\/ul><\/li>

Experience working in Agile environments<\/b> (Scrum, SAFe) <\/p><\/li>

Proven stakeholder management and cross -team collaboration skills <\/p><\/li><\/ul> Technical Skills <\/h2>

Strong understanding of enterprise data reference architectures<\/b> <\/p><\/li>

Expert -level SQL<\/b> and data modelling skills <\/p><\/li>

Python for: <\/p>

Automation <\/p><\/li>

Data processing <\/p><\/li>

Notebooks and analytics workflows <\/p><\/li><\/ul><\/li>

Data preparation techniques for: <\/p>

Reporting <\/p><\/li>

Advanced analytics <\/p><\/li>

Machine learning <\/p><\/li><\/ul><\/li>

Experience implementing and working with data quality frameworks<\/b> <\/p><\/li>

Familiarity with streaming and event -driven architectures using Kafka <\/p><\/li><\/ul>

<\/div><\/span>