At a Glance
- Tasks: Join a dynamic team to innovate solutions preventing fraud in financial services.
- Company: Thriving Financial Services business with a digital-first approach.
- Benefits: Hybrid work model, competitive salary, and opportunities for continuous learning.
- Other info: Collaborative environment with excellent career growth potential.
- Why this job: Make a real impact on client security using cutting-edge technology.
- Qualifications: Experience in data engineering with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
Fantastic opportunity to join a thriving Financial Services business.
This is a hybrid role, and can be based out of either the London or Manchester office.
As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform.
Join an established cybersecurity-focused development team and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe.
In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done.
We want to build resilient, future-proof novel solutions.
Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems.
Build ELT pipelines, from source to presentation of data to our internal customers.
Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle.
Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience.
Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes.
Own the deployment and operations of the system across environments from development, test, and through to production.
Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective.
Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required.
Experience as a data engineer.
Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred).
Proficient using transformation tools such as Py Spark/Pandas.
Knowledge and practice of graph databases is preferred but not required.
Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie.
Great Expectations.
Experience building cloud infrastructure using Ia C (Cloud Formation/Terraform).
Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency.
Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels.
An understanding of agile software development methodology, with scrum framework experience preferred.
A desire to continuously learn and develop yourself in both technical and non-technical skillsets.
- Send your CV for more information
- TPBN1_UKTJ
Senior Data Engineer - Python / PySpark / SQL employer: Harvey Nash
Join a leading organisation that values continuous improvement and offers a collaborative work culture, where you will be part of a dedicated team enhancing a complex Dynamics 365 CE and Power Platform environment. With opportunities for professional growth and exposure to enterprise-scale solutions, this role is perfect for those looking to expand their consulting capabilities while working closely with experienced professionals in Birmingham and remotely. Enjoy the flexibility of remote work combined with the chance to make meaningful contributions to a large user base.
