WeShape | Data Engineer

WeShape

Glasgow

5 months ago

Applications closed

5+ years of experience in data engineering
Strong experience working with high-velocity and high-volume data, including good experience in handling relational, semi-structured, and unstructured data
Strong knowledge of database design and development with previous experience in developing ETL processes, and multidimensional data models
Expertise with Kafka, Kafka Connect & Flink SQL
Experience with Iceberg Lakehouses
Experience with AWS
High understanding of both relational and multidimensional modeling principles
Strong knowledge working with Kubernetes and containerized applications
Expert in SQL queries and database tuning
Experience on data quality standards and contribution on defining and monitoring data quality metrics and KPIs

Knowledge of any other scripting languages, such as Shell Scripting
Experience building and deploying ML models

Looking for a Senior Data Engineer to join our team. The role involves the design,

development and implementation of our new real-time data platform, which includes data

streaming, a data lakehouse, and a fast analytics engine.

The ideal candidate will have deep knowledge and experience with fast-moving and large volume

data in cloud-based data and analytics platforms. We are looking for someone who is passionate,

motivated, driven, and up for the challenge.

What You’ll Do

Design, develop and support the real-time data platform and pipelines
Implement complex data transformations, aggregations, and enrichment operations on
streaming data
Conceptualize, evaluate and build a proof of concepts on new models, tools, and techniques
Collaborate, peer review, cross skill and share expertise with our internal team
Performance tuning of the system and work on new ways to increase efficiency
Implement monitoring and alerting solutions to track pipeline health, data quality, and
resource utilization
Provide documentation and training as required

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