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Wave Talent

Wave Talent

wavetalent.co

6 Jobs

38 Employees

About the Company

Wave Talent help tech-focused companies build end-to-end digital teams. We are specialists in recruiting Engineering, Product, and Design talent.

We have three simple truths:
Earn Honesty.
Deliver Expertise.
Pursue Connection.

Curious to find out more?
hello@wavetalent.co
www.wavetalent.co

Listed Jobs

Company background Company brand
Company Name
Wave Talent
Job Title
Analytics Engineer
Job Description
**Job title**: Analytics Engineer **Role Summary**: Build, maintain, and optimize data models and pipelines to power a self‑serve analytics platform. Deliver clean, reliable, reproducible datasets that enable data‑driven decision making across the business. **Expectations**: - Deliver production‑grade data models using dbt, ensuring reproducibility, reliability, and optimal performance. - Collaborate closely with product, engineering, and analytics teams to translate business needs into technical solutions. - Continuously monitor, troubleshoot, and refine data pipelines, applying best practices in model testing and deployment. - Advocate for data quality and governance, and drive a culture of data hygiene and transparency. **Key Responsibilities**: - Design and implement data models with dbt, SQL, and Python. - Develop and maintain ETL/ELT pipelines in a cloud data warehouse environment. - Optimize query performance and resource usage; conduct performance profiling and tuning. - Write unit and integration tests for data models, and automate CI/CD for data deployments. - Provide documentation and training to enable self‑serve analytics for colleagues. - Participate in data quality reviews, data lineage mapping, and metadata management. - Evaluate and recommend tooling enhancements (e.g., BI, experimentation platforms). **Required Skills**: - Proficient in dbt, structured SQL, and Python. - Strong engineering mindset focused on reproducibility, reliability, optimization, and model performance. - Experience building and deploying data pipelines in a cloud environment. **Bonus Skills**: - Snowflake, Looker, AWS (S3, Redshift, Glue, or equivalent). - Product analytics, subscription‑model data, experimentation & A/B testing. **Required Education & Certifications**: - Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Engineering, or related field. - Relevant certifications (e.g., SnowPro, AWS Data Analytics, dbt Certified) are advantageous but not mandatory.
London, United kingdom
Hybrid
03-11-2025
Company background Company brand
Company Name
Wave Talent
Job Title
Senior Software Engineer
Job Description
**Job Title:** Senior Software Engineer **Role Summary** Build and scale cybersecurity tools for a fast-growing startup, contributing to innovative, mission-driven solutions in a tech-focused environment. **Expectations** Mid–senior-level role requiring strong backend engineering expertise, object-oriented programming, and experience in high-growth tech environments. Open to candidates with diverse technical backgrounds transitioning to C#. **Key Responsibilities** - Design, build, and scale reliable cybersecurity products. - Drive technical decisions and contribute hands-on to system development. - Evaluate and implement new tools and technologies to enhance platform functionality. - Collaborate on product strategy and ensure adherence to clean code standards. **Required Skills** - Backend engineering with object-oriented languages (C# preferred, but open to others). - Cloud infrastructure expertise. - Strong testing practices and commitment to clean, maintainable code. - Experience in product-led or high-growth technology environments. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Physics, Mathematics, or related field.
London, United kingdom
On site
Senior
10-11-2025
Company background Company brand
Company Name
Wave Talent
Job Title
Engineering Team Lead
Job Description
**Job Title** Engineering Team Lead **Role Summary** Lead technical strategy and delivery for a core product area, modernizing legacy systems and building new features in a TypeScript‑first environment. Manage and coach a team of engineers to deliver reliable, scalable, AWS‑hosted solutions while improving SDLC practices and enabling rapid innovation. **Expactations** - Proven experience delivering technical products in both leadership and hands‑on roles. - Deep knowledge of backend and systems architecture for web‑based platforms. - Strong background in JavaScript, Node.js, React, RESTful APIs, and modern database design (SQL & NoSQL). - Familiarity with fast‑paced, product‑led environments, ideally with direct‑to‑consumer exposure. - Track record of building and sustaining high‑performing engineering teams. - Excellent communication skills for translating technical detail into practical insights for diverse stakeholders. - Resilience, emotional maturity and commercial awareness, with ability to prioritize outcomes in ambiguous settings. **Key Responsibilities** - Own the technical roadmap for the assigned product area and set long‑term direction. - Lead, mentor, and coach the engineering team to maintain high standards and a collaborative culture. - Define and enforce engineering standards, best practices, and shared code ownership. - Drive modernization by consolidating legacy systems into a unified, cloud‑native architecture. - Design and deliver scalable backend and API solutions, ensuring reliability, security, and performance. - Champion SDLC improvements, including CI/CD pipelines, Terraform infrastructure, and AWS deployment strategies. - Build internal tools and customer-facing experiences that reduce manual effort and accelerate delivery. - Partner with product managers and senior leadership to align technical initiatives with business value. - Act as a guardian of system quality, security, and compliance, and step into senior engineering leadership when required. **Required Skills** - Leadership & coaching in software engineering teams. - Architecture design: Node.js + TypeScript, React, REST APIs, SQL/NoSQL databases. - Modern JavaScript ecosystem (React, Redux or alternatives, TypeScript). - AWS cloud technologies, Terraform, GitHub Actions, CI/CD workflows. - Strong SDLC knowledge and ability to implement process improvements. - Excellent written and verbal communication across technical and non‑technical audiences. - Problem‑solving, resilience, and decision‑making under uncertainty. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. - Relevant cloud or architecture certifications (e.g., AWS Certified Developer/Architect, or equivalent) are highly preferred.
Maidenhead, United kingdom
Hybrid
Senior
23-11-2025
Company background Company brand
Company Name
Wave Talent
Job Title
AI Solutions Engineer
Job Description
Job title: AI Solutions Engineer Role Summary: Deliver end‑to‑end AI solutions for enterprise customers, managing implementation, prompt engineering, performance diagnostics, and adoption training. Operate within a post‑sales function, ensuring rapid delivery and continuous improvement of AI workflows for document‑heavy industries. Expectations: - Complete AI projects from inception to rollout within agreed timelines. - Publish prompt libraries and evaluation metrics for production use. - Diagnose and resolve sub‑optimal performance through structured debugging. - Capture customer usage patterns to inform product enhancements. - Provide training content and facilitate feature adoption for clients. - Coordinate with multiple enterprise stakeholders to keep delivery on track. Key Responsibilities: 1. Own full implementation lifecycle of customer AI projects. 2. Build, refine, and maintain prompt libraries, skills, and evaluation frameworks. 3. Analyze performance data, debug issues, and implement optimizations. 4. Identify customer pain points, surface product gaps, and recommend feature improvements. 5. Develop and deliver training materials to guide customers on new functionalities. 6. Manage stakeholder communications, ensuring project milestones are met. Required Skills: - Hands‑on expertise in prompt engineering and LLM integration. - Deep understanding of large language model capabilities, behaviors, and limitations. - Proven record of technical AI delivery to customers with concrete examples. - Strong communication skills, adept at asking clarifying questions and adapting to new information. - Bias for shipping actionable solutions rather than iterative delays. - Ability to troubleshoot, evaluate, and optimize AI performance. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience). ---
London, United kingdom
Hybrid
02-12-2025