Negotiable
Undetermined
Hybrid
Northampton, England, United Kingdom
Summary: The Senior Data Engineer role focuses on leveraging extensive experience in the banking domain, particularly in areas such as financial crime, KYC, and AML. The position requires proficiency in Python and SQL, along with strong stakeholder engagement skills for needs assessments and solution design. The candidate should have a comprehensive understanding of the SDLC lifecycle and be adept at capturing and documenting various requirements. This role offers a hybrid working arrangement with 2-3 days in the office.
Key Responsibilities:
- Utilize strong experience in the banking domain, particularly in financial crime, KYC, and AML.
- Engage with a diverse set of stakeholders for needs assessments and solution design.
- Demonstrate proficiency in Python and SQL for data engineering tasks.
- Understand and navigate the entire SDLC lifecycle, including Scrum and deployment processes.
- Capture and document business, stakeholder, and solution requirements effectively.
Key Skills:
- 8+ years of experience in data engineering within the banking sector.
- Strong skills in Python and SQL.
- Experience with financial crime, KYC, AML, CRM, Payment, Transfer, and Card systems.
- Ability to work with diverse stakeholders for needs assessments.
- Understanding of SDLC lifecycle and Scrum methodologies.
Salary (Rate): undetermined
City: Northampton
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Banking
Role Title: Senior Data Engineer
Possibility of remote work: Hybrid, 2-3 days WFO
Contract duration: 3 months
Location: Northampton, UK
Industry: Banking
Required Core Skills: Python SQL Analysis
Minimum years of experience: 8+ years
Job Description: Having Strong experience Banking domain, such as in financial crime KYC and AML, CRM, Payment, Transfer, Card and Python with SQL. Also having good experience in dealing with the large and diverse set of stakeholders for needs assessments, and solution design. The candidate should be well versed in all SDLC life cycle understanding Scrum and deployment process. Good understanding of capturing and documenting like business requirements, stakeholder requirements, Solution requirements.