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Trust In SODA

Trust In SODA

www.trustinsoda.com

22 Jobs

77 Employees

About the Company

Community-led, diverse in behaviour, for the digital tech brave. We are Trust in SODA, the digital tech recruitment specialists. We empower and build diverse communities that represent the digital tech world we live in. We are proud to be officially B Corp certified, joining a global network of organisations dedicated to using their platform as a force for positive change.

Our consultants focus on delivering talent solutions across Software Engineering, DevOps, Data, Cloud & Infrastructure and Creative.

Our SODA Squad operate in the UK (London), Ireland (Dublin), Switzerland (Zug), and the USA (Boston) to deliver bespoke hiring solutions to our clients via our embedded, contract and retained hiring solutions. We are fully licenced across our key geographies, including Swiss SECO licence holders, and have recently passed our Swiss Staffing audit.

We have our own communities - SODA Social and Women in DevOps, and Group communities, Pride in Tech and Ex-military Careers where we host regular events and podcasts, and publish blogs and white papers, in collaboration with industry game-changers and thought leaders.

We are part of Trinnovo Group – We build strong, long-term partnerships with our clients, candidates, and community, around a shared group mission to build diversity, create inclusion and encourage workplace innovation.

We are multi-award winning and our recent awards & accreditations include:
• B Corp Accredited
• Investors in People Platinum
• TIARA's 'Best Company to Work for (£20-£50m)' Award, 2022 & 2021 & 2020
• TIARA’s ‘Diversity, Equity & Inclusion’ Award 2022
• APSCo 'Diversity & Inclusion' Award for Excellent, 2018
• SIA 'Best Staffing Firms to Work for across the US' 2022
• Best Companies' 3-Star Accreditation 2022 & 2021
• Tiara's 'Growth Award' 2021 & 2020
• Tiara's 'Recruitment Leader of the Year' 2021

Trust our people. Trust our network. Trust In SODA.

Listed Jobs

Company background Company brand
Company Name
Trust In SODA
Job Title
Product Marketing Manager
Job Description
**Job Title:** Product Marketing Manager **Role Summary:** Lead global go‑to‑market strategy and execution for a portfolio of wearable technologies. Own market entry, launch planning, and growth acceleration across international markets in collaboration with cross‑functional teams (product, sales, marketing, ops, legal, policy, and partners). Deliver data‑driven, customer‑centric launch initiatives in fast‑moving environments with rapid prioritization and pivoting. **Expectations:** - Immediate start, 12‑month contract, remote. - Demonstrate proven success driving product launches and market expansion globally. - Balance strategic vision with hands‑on execution, iterating quickly and adapting to changing priorities. **Key Responsibilities:** - Partner with research teams to extract market, category, channel, and audience insights that shape launch tactics. - Coordinate global teams (regional marketing, product, ops, sales, legal, policy, channel partners) to align all GTM activities pre‑launch or expansion. - Define prioritization, roadmap, and success metrics for initiatives driving sales, engagement, and retention. - Own and operationalize clear go‑to‑market strategies for new country launches, articulating trade‑offs and positioning. - Identify bottlenecks, test innovative approaches, and scale effective tactics across key international markets. **Required Skills:** - 8+ years in strategic product marketing, product marketing management, or product management within tech, internet, or consulting. - Blend of strategic product marketing and tactical execution experience. - Deep customer research skills; adept at translating data insights into GTM decisions. - Proven track record of working in cross‑functional, high‑velocity environments. - Demonstrated success leading product launches with internal and external partners (product, sales, marketing, communications, partnerships, legal, policy). - Hardware product marketing experience with major tech firms (e.g., Meta, Apple, Google, Amazon) launching flagship products. - International expansion experience across multiple countries. - Strong strategic go‑to‑market and market nuance understanding. - Operational excellence mindset and process improvement capability. **Required Education & Certifications:** - Bachelor’s degree in Marketing, Business, Engineering, or related field. - MBA or advanced marketing certification preferred (e.g., Professional Certified Marketer).
London, United kingdom
On site
Senior
05-01-2026
Company background Company brand
Company Name
Trust In SODA
Job Title
Data Engineer - Palantir Foundry
Job Description
Job title: Data Engineer – Palantir Foundry Role Summary: Architect, develop, and maintain data pipelines on the Palantir Foundry platform to deliver clean, actionable data for client analytics and decision‑making. Works closely with business and technical stakeholders to design scalable data solutions that align with architectural best practices. Expectations: - Publish production‑ready data assets within the Foundry ecosystem. - Translate business requirements into reproducible pipelines and data models. - Serve as a technical advisor during client engagements, providing guidance on data strategy, architectural options, and best practices. - Participate in workshops, code reviews, and demos to ensure alignment with client goals. - Drive continuous improvement of data workflows and quality controls. Key Responsibilities: - Design, build, and optimize data ingestion, transformation, and loading processes using Foundry’s Pipeline Builder and Code Repository. - Manage data connectivity across source systems and ontology layers, ensuring consistent metadata governance. - Implement data models in Python, SQL, and PySpark, incorporating classification, clustering, and regression concepts where appropriate. - Collaborate with data scientists and business analysts to support advanced analytics initiatives. - Conduct client-facing presentations, workshops, and technical demonstrations to elucidate solutions and gather feedback. - Enforce architecture principles, coding standards, and security best practices across all deliverables. - Troubleshoot and resolve performance bottlenecks, data quality issues, and integration failures. - Mentor junior engineers and contribute to knowledge sharing within the organization. Required Skills: - Minimum 1 year of hands‑on experience on Palantir Foundry (AIP, Workshop, Code Repository, Pipeline Builder). - Strong programming proficiency in Python, SQL, and PySpark. - Solid understanding of end‑to‑end data workflows, including ontology design and data connectivity. - Experience in data modeling and foundational data science techniques (classification, clustering, regression). - Architectural thinking with a focus on scalability, maintainability, and security. - Excellent communication and client‑facing abilities; comfortable presenting to mixed technical and non‑technical audiences. - Problem‑solving mindset with a proactive approach to complex challenges. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Information Systems, Data Engineering, or a related field. - Professional certifications in data engineering, cloud platforms, or data analytics are a plus but not mandatory.
London, United kingdom
Hybrid
Fresher
08-01-2026
Company background Company brand
Company Name
Trust In SODA
Job Title
Power BI Business/Data Analyst
Job Description
Job title: Power BI Business/Data Analyst Role summary: Act as a bridge between business users and the technical team to facilitate the adoption and expansion of Microsoft Fabric‑based analytics across the organization. Support finance and risk departments by translating reporting needs into data models, ensuring high‑quality data governance, and promoting self‑service BI practices. Expactations: Increase platform adoption, enhance data model understanding, secure proper demand management and repeatable BI delivery, and strengthen data governance and standardisation. Key responsibilities: - Elicit, formalize, and prioritize data and reporting requirements from business stakeholders. - Collaborate with data architects to explain and apply existing data models for finance and risk use cases. - Deliver subject‑matter expertise to translate business needs into technical specifications. - Design and maintain documented data models, data dictionaries, and catalogues. - Manage controlled expansion of datasets and analytical domains. - Guide change‑management initiatives, including migration of legacy Excel files to Power BI and integration with Fabric data sources. - Champion data‑driven culture and support the scaling of self‑service BI across departments. Required skills: - Strong analytical and problem‑solving abilities. - Excellent interpersonal, communication, and service‑oriented mindset. - Proven capability to work independently and in cross‑functional teams. - Familiarity with finance and risk analytics. - Proficiency in English and French (spoken and written). Required Education & Certifications: - Master’s degree (Bac +5) in Computer Science, Engineering, or related field. - 5–8 years of experience as a business or data analyst. ---
Paris, France
On site
Mid level
16-01-2026
Company background Company brand
Company Name
Trust In SODA
Job Title
Python Software Engineer
Job Description
**Job Title**: Python Software Engineer **Role Summary**: Design, develop, and maintain robust, scalable machine learning tooling and infrastructure for processing structured and unstructured datasets. Lead full‑stack development with a focus on parallel and cloud‑based analytics pipelines, integrating LLM technologies such as GPT‑4, Gemini, and Claude. Collaborate with research scientists, internal infrastructure teams, and cross‑functional stakeholders to deliver production‑ready AI/ML workflows that drive business insight and innovation. **Expectations**: - Deliver clean, maintainable code that meets high reliability and performance standards. - Quickly learn and adopt new technologies in AR/VR, audio, multimodal, or DSP machine learning contexts. - Prioritize features and issues ruthlessly to enable rapid, efficient delivery. - Actively participate in documentation, code reviews, and knowledge sharing within a multidisciplinary team. **Key Responsibilities**: - Build and maintain scalable ML tooling, data pipelines, and distributed compute solutions for research scientists. - Design and deploy end‑to‑end machine learning workflows, including model training, evaluation, and production deployment. - Integrate with existing source control, compute clusters, and data storage systems across internal and client environments. - Perform source‑to‑sink debugging across distributed systems to resolve complex issues. - Coordinate with infrastructure and tool teams to evaluate and adopt new technologies. - Contribute to prompt engineering initiatives for LLMs, refining models and optimizing inference pipelines. **Required Skills**: - 4+ years Python development in a production environment, with deep learning frameworks (PyTorch, TensorFlow). - 2+ years experience handling large, complex datasets for ML (capture, annotation, preprocessing). - Proven ability to implement end‑to‑end ML prototypes and evaluate performance. - Experience with distributed compute architectures (clusters, cloud, HPC) and high‑performance computing. - Strong CI/CD, containerization, and deployment skills (Docker, Kubernetes, Jenkins). - Familiarity with graph, audio, multimodal, or DSP machine learning. - Bash/PowerShell scripting proficiency on Linux/Windows. - Excellent communication, requirement gathering, and stakeholder management. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience. - No mandatory certifications, but experience with cloud platforms (AWS, GCP, Azure) and container orchestration is highly valued.
Cambridge, United kingdom
On site
Junior
22-01-2026