Conversational Analytics Engineer - GCP Job at Valtech (London)

Analytics Engineer

We are seeking an experienced and versatile Analytics Engineer to join our dynam...

Location

Canada

Salary:

81990.00 - 91100.00 CAD / Year

Tucows

Expiration Date

Until further notice

Requirements

2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics
Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets
Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models
Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions)
Experience with Snowflake's Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred
Strong skills in Looker data visualization and LookML (including familiarity with Looker's conversational AI and data agent capabilities) or similar BI tools
Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus
Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows
Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks
Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing

Job Responsibility

Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform
Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights
Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making
Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker's conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries
Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams
Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling)
Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences
Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake's latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices

What we offer

fair compensation
generous benefits

Fulltime

Analytics Engineer

As an analytics engineer, you’ll be an integral part of our data analysis and QA...

Location

Canada , Vancouver

Salary:

106300.00 - 134350.00 CAD / Year

Dialpad

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields
1 - 3 years of working experience with software engineering or data engineering projects
1 - 3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar
1 - 3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines
Experience with BI tools such as Tableau
Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements
Experience working with popular LLM frameworks
Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems

Job Responsibility

Work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions
Design and implement data logging and monitoring strategies to capture key analytical insights
Utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline
Build and maintain data pipelines on Vertex AI pipelines
Work closely with the AI Platform team to build tooling for data science projects
Implement automation and processes to improve our workflow
Create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions
Contribute to our continuous efforts to enforce data privacy and compliance
Collaborate with cross-functional teams, including AI, engineering, and product teams

What we offer

Competitive benefits and perks
Robust training program
Inclusive office environment
Great Place to Work certified culture

Fulltime

Principal, Managed Services Portfolio and Technical Delivery Leader

Turnberry Solutions is seeking a Principal, Managed Services Portfolio and Techn...

Location

United States , Minneapolis

Salary:

170000.00 - 190000.00 USD / Year

Turnberry Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience in consulting, managed services, or enterprise IT operations leadership
Proven experience operating in a hybrid consulting and MSP leadership environment
Demonstrated success leading large-scale operational delivery teams and client-facing managed services engagements
Experience managing Service Delivery Managers, operational leads, or multi-layer delivery organizations
Strong executive communication and stakeholder management capabilities, comfortable in CIO, CTO, and Head-of-Engineering conversations
Hands-on technical leader at some prior point in career
Personally architected, built, or led modernization of production systems and can still hold a deep technical conversation today
Strong working knowledge of cloud platforms (AWS, Azure, or GCP) across architecture, operations, cost, security, and reliability
Cloud certifications are a plus
Demonstrated experience leading application modernization initiatives: legacy-to-cloud migrations, monolith decomposition, replatforming, refactoring, API/integration modernization, and observability uplift

Job Responsibility

Oversee delivery quality, operational performance, and client satisfaction across managed services engagements
Lead and mentor Service Delivery Managers, Support Leads, and operational leadership teams
Drive service stabilization, operational maturity, and scalable governance models across accounts
Serve as executive escalation point for critical delivery, operational, or client issues
Ensure SLA/KPI adherence, operational transparency, and continuous improvement across engagements
Establish scalable governance, reporting, knowledge management, and service review frameworks
Drive operational rigor across Incident Management, Problem Management, Change Management, Service Delivery Governance, Capacity and Demand Management, and Continuous Service Improvement
Serve as the senior technical voice across the managed services portfolio, credible with client architects, CTOs, platform engineering leaders, and security leadership
Own the technical narrative within AMS engagements: absorb customer technical directives, evaluate impact across the supported application estate, and translate them into actionable delivery, modernization, and operational plans
Shape and steer the long-term technical roadmap conversations inside managed services engagements, moving accounts beyond pure run-the-lights operations into modernization, platform evolution, and value-generating engineering work

What we offer

comprehensive healthcare package (medical, dental, vision)
disability and group term life insurance
health and flexible spending accounts
utilization bonus
401(k) with match
flexible time off for salaried employees
parental leave for salaried employees
flexible work arrangements

Fulltime

Data Scientist

Data Scientist Permanent Position! Job Summary: As a Data Scientist, the benefi...

Location

Salary:

53.00 USD / Hour

SAR Tech

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related field
Related experience in Data Science, Machine Learning, Statistical Analysis, Predictive Modeling, and Data Analytics
Strong experience working with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar data science and machine learning frameworks
Experience with data visualization and reporting tools such as Tableau, Power BI, Matplotlib, or Seaborn
Strong knowledge of statistical analysis, hypothesis testing, data mining, feature engineering, and model evaluation techniques
Experience processing and analyzing large structured and unstructured datasets from multiple data sources
Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is preferred
Knowledge of data preprocessing, ETL workflows, data validation, and data quality management practices
Understanding of Machine Learning operations (MLOps), model deployment, monitoring, and CI/CD pipelines is preferred
Familiarity with Big Data technologies such as Apache Spark, Hadoop, Databricks, or Snowflake is preferred

Job Responsibility

Use statistical techniques such as A/B testing to analyze and improve client onboarding applications, helping enhance user experience and drive better conversion outcomes
Design and implement data pipelines, data preparation frameworks, and analytical models to analyze large datasets using statistical tools
Perform data analysis, feature engineering, and model development for predictive analytics using python programming language
Develop and optimize machine learning models for financial data use cases such as forecasting and anomaly detection
Evaluate machine learning models using performance metrics to ensure they deliver reliable and meaningful results
Analyze business or financial data through reporting software to support decision-making
Create dashboards and analytical reports using Microsoft Power BI to support business decision-making
Collaborate with stakeholders to translate requirements into scalable AI/ML solutions and present insights
Build and deploy AI-powered applications using agentic workflows leveraging OpenAI models and related frameworks

What we offer

Medical Insurance
401(k) Retirement Plan

Fulltime

Senior TS Cross Technology Systems Integration Specialist

The Senior Cross Technology Technical Services (TS) Systems Integration Speciali...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced understanding and appreciation of technical design and business principles
Advanced project fundamental and administration ability
Advanced project fundamentals which are demonstrated in the execution of installations and other assignments
Advanced customer engagement skills
Advanced relevant domain specialist knowledge
Excellent verbal communication skills
Client focused and displays a proactive approach to solving problems
Advanced ability to coach, mentor and provide guidance to team members
Ability to take ownership as technical lead during project lifecycle
Bachelor's degree or equivalent in Information Technology or Computing or related field

Job Responsibility

Interacts with clients on site and remote to meet more complex requirements of a solution
Escalates unresolved problems and issues to the relevant third parties
Delegates lower complexity tasks to engineers and technicians
Assumes responsibility for the coordination of the activities of the engineers, in line with performance targets, leading by example and monitoring the quality of engineer's and technician's work when required
Writes reports and proposals and completes and maintains project documentation
Assists with the documentation of standard operating procedures relating to installations and fixes
Acts as coach and mentor to more junior Implementation Engineers and Technicians
Assumes responsibility for the coordination of the activities of the Engineers, in line with performance targets
May be required to serve periodically on the customer service desk, providing third line telephonic, remote and on-site support and problem management
Included in complex design work, with input to the design expected

Fulltime

Senior TS Cross Technology Systems Integration Specialist

The Senior Cross Technology Technical Services (TS) Systems Integration Speciali...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced understanding and appreciation of technical design and business principles
Advanced project fundamental and administration ability
Advanced project fundamentals which are demonstrated in the execution of installations and other assignments
Advanced customer engagement skills
Advanced relevant domain specialist knowledge
Excellent verbal communication skills
Client focused and displays a proactive approach to solving problems
Advanced ability to coach, mentor and provide guidance to team members
Ability to take ownership as technical lead during project lifecycle
Advanced work experience in a technical implementation engineering technologies such as Networking, Data Center, Security, Customer experience, Collaboration and/or End User Compute etc

Job Responsibility

Interacts with clients on site and remote to meet more complex requirements of a solution
Escalates unresolved problems and issues to the relevant third parties
Delegates lower complexity tasks to engineers and technicians
Assumes responsibility for the coordination of the activities of the engineers, in line with performance targets, leading by example and monitoring the quality of engineer's and technician's work when required
Writes reports and proposals and completes and maintains project documentation
Assists with the documentation of standard operating procedures relating to installations and fixes
Acts as coach and mentor to more junior Implementation Engineers and Technicians
Assumes responsibility for the coordination of the activities of the Engineers, in line with performance targets
May be required to serve periodically on the customer service desk, providing third line telephonic, remote and on-site support and problem management
Included in complex design work, with input to the design expected

Fulltime

Data Architect

As a Data Architect, you are passionate about experience innovation and eager to...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
3NF — operational and transactional layer design
Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
Data Vault 2.0 — hubs, links, satellites, business keys
Data mesh & domain-oriented data product design
Architecture Decision Records (ADRs) and C4 modelling
Data contract design — schema, SLAs, versioning
Data catalogue & metadata management design

Job Responsibility

Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Sap Ai/ Developer

The SAP AI/ML Developer role at NTT DATA involves designing, developing, and mai...

Location

India , Hyderabad

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field
8 - 13 years of software development experience, with strong exposure to AI/ML and data engineering
Proficiency in Python, Java, Node.js, or Scala
Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn
Familiarity with cloud platforms (AWS, Azure, GCP, SAP Cloud Platform) and container tools (Docker, Kubernetes)
Understanding of data engineering, ETL pipelines, and big data technologies (Spark, Hadoop, Kafka)
Proficiency with software engineering best practices (CI/CD, Git, testing, modular design)
Strong communication and collaboration skills across cross-functional teams

Job Responsibility

Designing, developing, deploying, and maintaining AI and machine learning solutions within the SAP ecosystem
Translate business requirements into applications and services leveraging SAP platforms, AI/ML frameworks, and integrate them into enterprise SAP landscapes
Collaborate with solution architects, data scientists, SAP consultants, and business stakeholders to translate requirements into AI/ML solutions
Design and build data pipelines, model training/deployment workflows, and monitoring processes (MLOps/LLMOps)
Develop AI/ML models (predictive analytics, anomaly detection, conversational AI, generative AI) using Python, R, or Java and frameworks such as TensorFlow, PyTorch, Scikit-learn
Integrate AI/ML services with SAP platforms (S/4HANA, SAP BTP, AI Core, AI Launchpad) and external systems using APIs or OData
Develop cloud-native applications or microservices using Docker/Kubernetes and deploy on AWS, Azure, GCP, or SAP Cloud Platform
Ensure scalability, reliability, and maintainability of AI solutions using CI/CD, automated testing, and version control best practices
Support AI/ML lifecycle from PoC to production and manage optimization and drift detection
Participate in architecture documentation, design discussions, and AI/ML roadmap development

Select Country

Conversational Analytics Engineer - GCP

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?