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For Freelance In London


Senior Engineer for Landing Zone, Security & networking

England, London, City of London

  • £600 to £675 GBP
  • Developer Role
  • Skills: AWS, Security, Kubernetes, CI/CD, Cloudformation, Javascript
  • Seniority: Senior

Description du poste

Senior Engineer for Landing Zone, Security & networking - Up to £675 p/d

3 month contract - Inside IR35 - Start date ASAP

1 day per week in SE1 based office in London

* Technical Lead in designing, building and configuring network and security components to interface with an existing Production Landing Zone hosted in AWS
* Strong Networking, access management and Cloud security infrastructure knowledge is essential including knowledge of inspection VPC, specifically (IDP/IDS) cloud based firewall technology
* Hands-on experience in design and delivery of systems based on AWS IaaS, PaaS, and SaaS offerings, as well as exposure to different architecture models
* DevOps skills for leading team and consulting the customer
* Experience with CI/CD-based environments (specifically ADO)
* At least 3 years of cloud developing large-scale distributed cloud systems;
* AWS deployment techniques CloudFormation, YAML, and code deployments
* Proficiency scripting in multiple languages - JavaScript/Node.js, Java, Python
* Own amendments of High-level Design and create Low Level design to very high quality. Creation of run books to support the ongoing 7x24 operation
* Builds are to be compliance with defined security standards and leverage Production Landing Zone.
* Adherence to Change Controls and stringent technical governance as mandated on an Enterprise Financial environment
* Demonstrates a positive attitude and confident approach in dealing with new challenges

To find out more contact o.king@jeffersonfrank.com or call 0191 814 7785.

SAS Data Engineer

England, London

  • Up to £1,000 GBP
  • Developer Role
  • Skills: SAS, Data, Python
  • Seniority: Mid-level

Description du poste

SAS Data Engineer (6-12 Month Contract)

We are seeking a highly skilled and motivated SAS Data Engineer with Python and Credit Risk experience to lead a dynamic team.

As a SAS Data Engineer, you will play a crucial role in developing and maintaining data infrastructure, ensuring the efficient and accurate processing of large datasets.

You will collaborate with cross-functional teams to implement data pipelines, design data models, and provide valuable insights into credit risk analysis.

This is an exciting opportunity to contribute to the growth and success of our organization by leveraging your expertise in SAS, Python, and credit risk analysis.


* Design, develop, and maintain SAS data integration processes and solutions to ensure the availability, reliability, and integrity of credit risk data.
* Collaborate with stakeholders, data scientists, and software engineers to understand data requirements and translate them into technical solutions.
* Build and optimize data pipelines and workflows to extract, transform, and load (ETL) large datasets from various sources into SAS.
* Implement data quality checks and ensure data consistency, accuracy, and compliance with regulatory standards.
* Develop and maintain data models, ensuring proper data organization, storage, and retrieval.
* Perform data analysis and provide insights into credit risk assessment, identifying trends, patterns, and anomalies.
* Stay updated with industry trends and best practices in credit risk analysis and data engineering, and apply them to improve processes and methodologies.
* Collaborate with team members to troubleshoot issues, resolve data-related problems, and optimize data processes for performance and scalability.
* Document data engineering processes, methodologies, and solutions for knowledge sharing and future reference.


* Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is a plus.
* Proven experience as a Data Engineer, preferably in a financial institution or credit risk domain.
* Strong proficiency in SAS programming, including SAS Base, SAS Macro, and SAS SQL.
* Proficiency in Python programming for data manipulation, analysis, and automation.
* Solid understanding of credit risk concepts and methodologies, including credit scoring, provisioning, and stress testing.
* Experience with data modeling, database design, and performance optimization.
* Proficiency in ETL processes and tools, and strong knowledge of data integration techniques.
* Familiarity with statistical analysis and machine learning techniques used in credit risk modeling.
* Excellent problem-solving skills and the ability to work in a fast-paced, deadline-driven environment.
* Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

Preferred Qualifications:

* Certification in SAS programming or credit risk analysis.
* Experience with data visualization tools such as Tableau or Power BI.
* Knowledge of cloud-based data platforms and technologies, such as AWS or Azure.
* Familiarity with other programming languages and tools commonly used in data engineering and analysis, such as R, SQL, or Spark.

We offer competitive compensation packages and a supportive work environment that fosters growth and professional development. If you are a dedicated and skilled SAS Data Engineer with Python and Credit Risk experience, we invite you to join our team and make a significant impact on our organization's success.