Data - Test Engineer


Premium Job From Sogeti

Recruiter

Sogeti

Listed on

18th January

Location

London

Salary Notes

Competitive + Benefits

Type

Permanent

This job has now expired please search on the home page to find live IT Jobs.

Data - Test Engineer

The Role

Sogeti UK is renowned for being the Testing & Quality Engineering specialists and we're looking for talented individuals with a passion for quality engineering and testing who want to join a market leading organisation as a Data Quality Assurance Specialist.

Essential Skills:

  • Expertise in testing data validation scenarios and processes related to data ingestion, pipelines, and transformation (e.g., ETL).
  • Ability to work closely with data engineering functions to establish a sustainable test approach.
  • Understanding of big data engineering tools and their strategic utilization (e.g., PySpark, Hive, Hadoop, Cloudera, Stackable.tech).
  • Proficiency in working with Apache NiFi, Apache PySpark 2.4, Hive QL, Power BI, Kibana, and Apache Superset.
  • Proven experience with Data Lake/Delta Lake technologies.
  • Strong experience in working with MS SQL and PostgreSQL databases.
  • Hands-on experience with automated testing tools.
  • Experience working with large datasets and data ingestion pipelines.
  • Demonstrated ability to automate tests across multiple platforms and technologies throughout the development lifecycle.
  • Proficient in Issue and Defect Management.
  • Testing systems that capture, verify, and maintain field-generated metadata.
  • Familiarity with multiple backend databases, database design, and APIs.
  • Experience with Agile Software Development & Testing methods.
  • Strong experience in SQL, with the ability to extract and manipulate data.
  • Hands-on experience with data ingestion, cleaning, verifying, and validating processes.
  • Commercial experience within the Azure cloud, particularly with Databricks, Data Factory, and Synapse.
  • Data visualization experience using PowerBI.
  • Desirable experience with Python, Spark, or PySpark.

Nice-to-Have Skills:

  • Knowledge of issue tracking and project management tools.
  • Ability to grasp the broader perspective of automation frameworks and testing across a range of products.
  • Demonstrated experience in manual and automation testing, specifically in validating data sources, extraction, transformation logic, and loading data into target tables.

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