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SC Cleared Python Developer

Opus Recruitment Solutions
Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
Last week
£400 – £425 pd

Salary

£400 – £425 pd

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Security Clearance
Required
Posted
18 May 2026 (Last week)
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What is Citizen Event Analytics?

Citizen Event Analytics (CEA) is a cross-benefit, cross-channel event history compiled from citizens' interaction, (telephony, face to face and digital), claim processing and support events.

CEA uses a pipeline that:

Extracts event data from different sources

Transforms the data into a usable and trusted resource

Loads that data into the data asset that is accessible to Data users through the Uplifted Analytical Service (UAS).

Support DWP in the maintenance of the longitudinal event history data asset and associated data pipelines that forms Citizen Event Analytics. As directed by DWP, activities may include:

The resources will be expected to support:

plan and lead development on sets of related stories

have an understanding of the whole CEA system and take responsibility for teaching this to others(specific technical skills listed below in the ‘Technical skill requirements’ section

work with other users, Product Owner and Business Analyst to understand what needs to be built

coach and mentor more junior colleagues

operate the ingest and publishing production pipelines/services, that are build and find ways to improve system robustness, resilience and stability

Key skills required:

Understanding of data processing using Apache Spark

Use of Python, SQL, and familiarity with PySpark

Experience using Apache Airflow for task orchestration

Understanding of EMR and reviewing output logs

Use of Jupyter notebooks and/or Amazon Athena to query and validate data

Data analysis to identify root cause of issues

Understanding of dimensional data models and slowly changing dimensions/historic data capture

Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB, LakeFormation

Familiarity with Amazon Textract and Comprehend

Understanding of both server-side and client-side encryption

Use of GitLab for source code management pipelines for CI/CD

Use of GitLab Tags for component versioning in shared repositories

Understanding of Docker and containerization of solutions

IaC using Terraform

Experience of understanding how customer expectations transition to applied functionality

Familiarity with, and implementation of, DWP Engineering best practices

Use of gitlab for release tagging and deployments

Familiarity with basic data structures for constructing a solution

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