Data Engineering Specialist

TPXimpact; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

TPXimpact is seeking a Data Engineering Specialist to enhance their Data Engineering capability. The role involves building and maintaining effective data pipelines, guiding junior team members, and consulting clients on data strategies. Ideal candidates will bring expertise in optimizing data solutions, ensuring that business needs are met effectively.

Qualifications

• Proven ability to design and maintain data pipelines and services.
• Experience in guiding team members and consultants.
• Strong understanding of data transformation and integration.

Responsibilities

• Design, build, and maintain reporting data stores and data pipelines.
• Review others' work and assist with quality control.
• Support junior team members in technical development.
• Consult clients on data best practices.

Skills

Efficiency Improvement

Data Integration

Automation

Problem Solving

Collaboration

Job description

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TPXimpact is expanding their Data Engineering Capability to continue to deliver real impact by ensuring our clients have access to the right information, at the right time, and in the right format to support them in making great decisions that in turn drive positive impact.

We aim to achieve this by balancing profit and purpose, delivering projects with impact, taking accountability for our actions and developing our craft.

Responsibilities

We are looking for a Data Engineering Specialist to fulfill the following responsibilities:

1. Designs, builds, tests and maintains reporting data stores and data pipelines and services, consistently looking to make improvements to efficiency in order to reduce running times and costs.
2. Regular reviewer of others’ work, raising issues as appropriate. May assist with a quality control function.
3. Supports and guides consultants during the investigation of issues, knowing when to step in and when to encourage more independence.
4. Supporting more junior members of the team with the development of their technical knowledge.
5. Able to look at existing solutions and diagnose issues, with the goal of making improvements to efficiency in order to reduce running times and costs.
6. Works to ensure that available data meets business requirements and user needs.
7. Develops and maintains robust, performant data integration and transformation routines and services.
8. Maximises the automation, scalability and reliability of data services, focusing on opportunities for reuse, adaptation and efficient engineering.
9. Effectively documents their work in an understandable way to ensure smoother handovers.
10. Consults the client on best practices and provides solutions for complex data challenges.
11. Works collaboratively with the front-end developers, UX researchers, source system administrators, etc., to ensure a smooth end-to-end process.