Data Engineer @ Harvey Nash Technology

Data Engineer

We’re seeking a Data Engineer with strong experience designing and building robust data pipelines and performing ETL / ELT processes. You will work on data integration, modeling, analytics, and visualization while ensuring data quality and supporting customer-facing solution engineering activities.

Must-Have Skills :

• Proven experience building data pipelines and performing ETL / ELT
• Proficiency in Python and SQL
• Experience with dbt, Airbyte, Kafka, PostgreSQL, Databricks
• Familiarity with data modeling, integration, and visualization tools (e.g., Tableau, Qlik Sense, Superset, Splunk)
• Experience working in AWS environments (Glue, Lambda, S3, RDS)
• Solid understanding of data architecture, system integration, and data quality best practices
• Customer-facing experience in solution engineering, including assessments, solution proposals, and architectural design

Must-Have Skills :

Data Engineer

We’re seeking a Data Engineer with strong experience designing and building robust data pipelines and performing ETL / ELT processes. You will work on data integration, modeling, analytics, and visualization while ensuring data quality and supporting customer-facing solution engineering activities.

Must-Have Skills :

Relational databases : PostgreSQL, SQL Server, Oracle, MySQL , Cloud : AWS (Glue, Lambda, S3, RDS, SageMaker, Secrets Manager), basic Azure knowledge , Data platforms : Databricks , ETL / ELT tools : Fivetran, Airbyte, dbt , Orchestration : Airflow , Version control & DevOps : GitLab, CI / CD , Microservices & containers : Docker, Docker Compose , Big data & processing : Hadoop, Spark , NoSQL : Redis, Cassandra, MongoDB, Hive / HBase, Neo4J ] Requirements : Data pipelines, ETL, Python, SQL, dbt, Kafka, PostgreSQL, Databricks, Data modeling, Tableau, Qlik, Splunk, AWS, Glue, AWS Lambda, AWS S3, Amazon RDS, Relational database, Oracle, MySQL, AWS Glue, Azure, Airflow, GitLab, Microservices, Docker, Docker Compose, Big Data, Hadoop, Spark, Redis, Cassandra, MongoDB, Hive, HBase, Neo4j Tools : . Additionally : Private healthcare, International projects, Small teams.