Valtech

Backend Engineer

• Join the existing backend team building and evolving production services
• Thrive as a curious problem solver who challenges the status quo
• Collaborate with teammates and value knowledge-sharing
• Work at the intersection of technology, creativity, and data
• Contribute to Agile methodologies and consulting projects

Senior Python Engineer

Salesforce Developer

• Creating Salesforce (technical) solution designs
• Declarative and programmatic development of Salesforce functionalities to meet the business requirements
• Creating estimations for the work to be done
• Working closely with other members of the scrum team on the project
• Build integrations using best practice integration patterns
• Peer reviewing others’ work
• Share knowledge.

Senior Salesforce Engineer – Freelancer

• Creating Salesforce (technical) solution designs
• Declarative and programmatic development of Salesforce functionalities to meet the business requirements
• Creating estimations for the work to be done
• Working closely with other members of the scrum team on the project
• Peer reviewing others’ work
• Share knowledge

Middle Salesforce Engineer – Freelancer

Data Engineer

• Build and support non-interactive and real-time data pipelines
• Create fault-tolerant, self-healing, and highly accurate data computational pipelines
• Lead implementation of complex programs
• Maintain documentation relating to assigned systems and projects
• Tune queries over billions of rows of data in a distributed query engine
• Perform root cause analysis for software or business process issues
• Implement and maintain dbt transformation models and data contracts
• Monitor data quality gates and freshness SLOs
• Optimize BigQuery cost and performance using query tuning and storage design

Senior Cloud Data Engineer

• Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
• Provide consultation and lead the implementation of complex programs
• Develop and maintain documentation relating to all assigned systems and projects
• Tune queries running over billions of rows of data running in a distributed query engine
• Perform root cause analysis to identify permanent resolutions to software or business process issues
• Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts.
• Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs.
• Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy.
• Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation.

Senior Data Engineer – Google Cloud

Data Scientist

• Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels.
• Conduct root-cause analyses of known production issues leading to adverse model outputs.
• Select and implement appropriate machine learning models for time-series forecasting and supply-chain optimization applications.
• Contribute well-tested code to existing, object-oriented Python codebases.
• Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
• Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
• Communicate analytical findings in an intuitive and visually compelling way.
• Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications.
• Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success.
• Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines.
• Architecting cloud data platform components enabling the above.
• Building and tracking project timelines, dependencies, and risks.
• Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions.

Engineer

• Lead end-to-end delivery of Stibo STEP solutions from business discovery and design through development, testing, release, and ongoing support
• Partner with business stakeholders to design user flows, workflows, and data quality checks supporting product onboarding and enrichment
• Translate business requirements into STEP data models, hierarchies, workflows, business rules, and validation frameworks
• Influence technical architecture and integration design for STEP, including REST APIs, event-based patterns, and batch processes
• Collaborate as an embedded lead with full-stack and Stibo STEP platform engineers to deliver cohesive, end-to-end solutions
• Create and maintain project and support documentation such as technical design documents, delivery plans, and release notes
• Provide hands-on STEP development and technical guidance to other engineers
• Participate in on-call support rotations, triage and resolve production incidents, and perform root cause analysis
• Troubleshoot and fix defects, data quality issues, integration failures, and performance problems

Lead MDM Engineer

Program Manager

• Provide structure, leadership, and operational excellence across complex, multi-channel marketing initiatives for enterprise-level clients.
• Lead integrated teams across Media, Data, Strategy, Technology, and Creative.
• Manage program level projects with competing priorities while maintaining momentum, quality, and stakeholder alignment.
• Translate client business goals into clear, executable project plans that align practice teams.
• Serve as the primary point of contact for enterprise-level clients, managing expectations, timelines, risks, and delivery outcomes.
• Enable project teams to deliver best-in-class work by providing clarity, structure, and strong delivery leadership.

• Design and own complex, enterprise-scale data architectures across MS Fabric, Azure, GCP, AWS, or Databricks serverless or hosted environments.
• Define and enforce architectural standards, patterns, and governance frameworks across ingestion, modeling, lineage, security, and orchestration.
• Shape AI-enabled architecture approaches, including data foundations for ML, feature engineering, and low-latency operationalization pipelines.
• Act as a principal advisor to client technical leadership, helping shape long-term strategy, roadmaps, and modernization initiatives.
• Lead architectural direction during pre-sales cycles, including solutioning, scoping, estimation, and executive-level presentations.
• Anticipate downstream impacts of architectural decisions; maintain ownership when delivery teams or constraints require deviation from the original design.
• Architect highly available, distributed, fault-tolerant data pipelines supporting batch and streaming workloads.
• Oversee migration and integration of complex, diverse data sources into Fabric, Azure, GCP, or Databricks platforms.
• Define medallion/lakehouse modeling patterns across Bronze/Silver/Gold zones or cloud equivalents.
• Set enterprise standards for ingestion → transformation → serving layers across multi-cloud environments.
• Optimize performance of large-scale data processing across Spark, Databricks, and Fabric-native engines.
• Provide leadership across 2–3 concurrent projects with variable allocation, ensuring architectural consistency and delivery quality while also contributing to in-depth technical work where needed.

Data Architect

Software Engineer

• As a Mobile Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible.
• You will thrive in this role if you are:
• A curious problem solver who challenges the status quo
• A collaborator who values teamwork and knowledge-sharing
• Excited by the intersection of technology, creativity and data
• Experienced in Agile methodologies and consulting (a plus)

Mobile Engineer

Copywriter

• You’ll be responsible for creating clear, engaging, and effective copy that brings brands to life while staying true to their Tone of Voice.
• You’ll work closely with designers, strategists, and other team members to deliver high-quality creative work across websites, campaigns, and advertising.