Contractor Data Software Engineer

Here is a job description based on the information provided, without mentioning the company name, candidate name, or contact name. The description is free from discriminatory or biased language and does not contain anything related to age, race, gender, or other forms of discrimination in the UK context:

Data Software Engineer

Are you a talented data engineer who thrives in a dynamic, collaborative environment? Join our team and play a key role in strengthening and protecting our nation's economic, financial, and payments systems.

As a Data Software Engineer, you will be responsible for collecting, parsing, managing, and analyzing large datasets to uncover valuable insights. You will work closely with cross-functional teams to design, develop, and implement innovative technology solutions that support our organization's critical mission.

Key Responsibilities:
- Collect, cleanse, analyze, and validate data to ensure integrity and quality
- Construct and apply statistical analysis and models to verify data accuracy
- Develop manual and automated methods to test data compliance and quality
- Ensure data integrity by implementing robust quality assurance practices
- Plan, design, and perform assessments on data elements and structures
- Gather and resolve any missing or anomalous data
- Conduct regular reviews, audits, and investigations of data activity and integrity
- Produce guidelines, documentation, and recommendations for improving data processes

Required Qualifications:
- Bachelor's degree in a STEM field or equivalent combination of education and experience
- 3-15 years of relevant experience in data engineering and analysis
- Proficiency in SQL on a variety of relational databases (e.g., PostgreSQL, MySQL)
- Proven experience in designing, developing, and maintaining Tableau dashboards and reports
- Knowledge of AWS cloud services and architecture best practices
- Ability to use Git for version control and collaboration

Preferred Qualifications:
- In-depth understanding of data engineering principles and best practices
- Experience working independently with limited supervision
- Ability to serve as a resource and mentor for less experienced team members