Data Scientist - BAU Analytics

Executive Facilities; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Long contract

Award winning work environment

Job summary

Executive Facilities seeks a Senior Data Analyst for a 12-month contract to advance AI/ML-driven user experience. Hybrid role with three on-site days in City of London.

Responsibilities include building scalable data pipelines (BigQuery, Dataflow/Apache Beam, Airflow), ensuring data quality and observability (Looker, Monte Carlo), and collaborating with product engineering and data science teams to plan data tracking and ingestion tasks.

Qualifications

• 5+ years of data analysis experience developing applications including Scala/Java and/or Python.
• Experience managing batching and/or streaming data pipelines and infrastructure using GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt.
• Working knowledge of SQL and shell scripting.
• Experience with Docker/K8s and infrastructure-as-code tools such as Terraform, Salt or similar.
• Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents.

Responsibilities

• Providing data sources that help build the AI/ML user experience.
• Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow.
• Provide observability and monitoring using Monte Carlo and Looker, and other operational tools to drive reliability and data quality.
• Scope and plan work with product engineering, data science and business, supporting data tracking, collection, ingestion, quality monitoring and alerting.

Skills

Data analysis

Technical communication

Big data concepts

Tools

GCP

Dataflow/Apache Beam

Dataproc

Spark/Flink

dbt

Docker

Kubernetes

Terraform

Salt

Job description

Our client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site.

Responsibilities;

• Providing data sources that help build the AI/ML user experience
• Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow.
• Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness.
• Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting.

Experience

• 5+ years data analysis experience developing applications including Scala/Java and/or Python.
• Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt;
• Working knowledge of SQL and shell scripting;
• Experience with Docker/k8s and "infrastructure as a code" tools such as Terraform, Salt or similar.
• Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents.

This is a great opportunity to further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform & Google Cloud Platform.

Benefits

• Hybrid working
• Long contract
• Award winning work environment