Data Integrations Specialist Jobs

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our People team are the architects of a great workplace where brilliant minds come together to do their best work. From discovering diverse talent and nurturing future leaders, to creating spaces that spark collaboration and crafting rewards that celebrate success - we're passionate about building a culture where everyone can thrive. We’re looking for a Compensation Partner to join our London team. In this role, you’ll help us build and scale our incentive practices and provide expert reward consultancy to our global commercial organisation. Get to know our People team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining the Reward team. We are a group of specialists dedicated to creating innovative compensation and benefits structures that attract and retain world-class talent. Here’s what your day-to-day might look like: Strategic Advisory: Provide ongoing expert consultation to Leaders, People Partners, and Talent Acquisition on complex compensation-related challenges. Incentive Design: Partner with global commercial teams to design, implement, and scale effective sales incentive plans that drive business growth. Market Intelligence: Perform research on emerging trends and best practices in commercial compensation, using analytics to enhance our global programs. Data-Led Insights: Deliver analytical recommendations on compensation trends, risks, and opportunities to ensure we remain competitive and equitable. Systems Innovation: Support the integration of compensation processes into modern SaaS solutions (

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Engineer in the High Bandwidth Memory (HBM) Media Health (MH) team, you will work with Fab, Yield Improvement, Design, and other engineering groups passionately focused on HBM. You will develop, deploy, optimize, and innovate test strategies for Micron's DRAM in HBM products. The team acts as a key partner of these engineering groups and specialties, focusing on innovating new and improved test strategies and features. You will guide development for Probe (wafer level test), Burn-in, and ATE test code and testing techniques used to validate and ensure device performance. You will assist in debugging code and aiding other specialists in the characterization of applicable HBM devices. In this role, your additional responsibilities include an in-depth understanding of general device functionality specific to HBM products as well as schematics and signal integrity. Responsibilities: Work with Design Engineering to run simulations pre-silicon to validate DFT circuits and test modes as well as communicate design issues found. Work on pre-silicon tasks with MH and test teams to define required tester resources. Work with Test Engineering and HBM Product Engineering to ensure specific product requirements or limitations are comprehended, leading to silicon performance matching expectations. This work includes test program debug, examination of data, and test development. Support the ID1 fabrication site Process Integration and Yield Enhancement through test development, DOE data analysi

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. We have a significant amount of work ahead, which gives you the opportunity to help put the global economy within everyone’s reach while doing the most important work of your career. About the Strategy and Transformation team The Strategy & Transformation team helps Stripe’s largest and most strategic users define and execute high-impact business and technology transformations. We work early in the customer lifecycle, alongside account teams and senior customer leaders, to connect business ambition with a practical path to value on Stripe. The team has established foundational Strategy & Transformation Consultant coverage across regions. We are now adding specialist advisors who bring differentiated expertise to the enterprise conversations where Stripe’s role must be understood not simply as a payments provider, but as an integrated financial backbone within a customer’s broader commerce and technology ecosystem. About the role As a Strategy & Transformation Advisor, Enterprise Commerce Architecture , you will be the senior strategic advisor for complex enterprise commerce transformations, Stripe integration engagements & pursuits across AMER. You will support and advise integration teams and our users on the most complex multi product Stripe integration engagements. Additionally, you will help customers develop a clear, prescriptive point of view on how Stripe should integrate into their future-state architecture — and what that means for their commerce platforms, order-management systems, ERP and finance estate, customer and loyalty systems, identity, data platforms, fulfillment operations, and engineering organization. You will partner with broa

As a senior product consultant , you combine deep Demand Planning expertise with hands-on implementation experience to help evolve OMP's Demand Planning solution. You'll work closely with customers, solution architects, implementation consultants, and product teams to support advanced Demand Planning functionality, pilot implementations, and complex business scenarios. By bringing insights from the field back into Product Development, you'll help shape future product enhancements and support the successful rollout of new capabilities across our customer base. You are responsible for: Growing deep expertise in OMP's Demand Planning solution and related business processes. Supporting strategic customer projects involving advanced functionality and pilot implementations. Acting as a subject matter expert for complex Demand Planning challenges. Supporting solution architects and implementation consultants with specialist knowledge. Representing customer and implementation feedback towards product management and development. Contributing to best practices, training, and knowledge sharing within the Demand Planning domain. Collaborating with product managers, architects, and developers to shape future product enhancements. Your team As a Senior Product Consultant Demand Planning, you’ll join our Product Development organization. Product Development consists of specialized teams that focus on a specific domain such as demand and supply planning, user experience, data science, integration, solvers, and more. These teams drive our product road map, share OMP’s vision and expertise and create smart, robust, and scalable software solutions that solve our customers’ complex supply chain planning challenges. About you Essential talents and qualifications: Master's degree in Engineering, Business Administration, Supply Chain Management, Applied Economics, Com

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Engineer in the High Bandwidth Memory (HBM) Media Health (MH) team, you will work with Fab, Yield Improvement, Design, and other engineering groups passionately focused on HBM. You will develop, deploy, optimize, and innovate test strategies for Micron's DRAM in HBM products. The team acts as a key partner of these engineering groups and specialties, focusing on innovating new and improved test strategies and features. You will guide development for Probe (wafer level test), Burn-in, and ATE test code and testing techniques used to validate and ensure device performance. You will assist in debugging code and aiding other specialists in the characterization of applicable HBM devices. In this role, your additional responsibilities include an in-depth understanding of general device functionality specific to HBM products as well as schematics and signal integrity. Responsibilities: Work with Design Engineering to run simulations pre-silicon to validate DFT circuits and test modes as well as communicate design issues found. Work on pre-silicon tasks with MH and test teams to define required tester resources. Work with Test Engineering and HBM Product Engineering to ensure specific product requirements or limitations are comprehended, leading to silicon performance matching expectations. This work includes test program debug, examination of data, and test development. Support the fabrication sites and Process Integration through test development to increase effective process feedba

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Engineer in the High Bandwidth Memory (HBM) Media Health (MH) team, you will work with Fab, Yield Improvement, Design, and other engineering groups passionately focused on HBM. You will develop, deploy, optimize, and innovate test strategies for Micron's DRAM in HBM products. The team acts as a key partner of these engineering groups and specialties, focusing on innovating new and improved test strategies and features. You will guide development for Probe (wafer level test), Burn-in, and ATE test code and testing techniques used to validate and ensure device performance. You will assist in debugging code and aiding other specialists in the characterization of applicable HBM devices. In this role, your additional responsibilities include an in-depth understanding of general device functionality specific to HBM products as well as schematics and signal integrity. Responsibilities: Work with Design Engineering to run simulations pre-silicon to validate DFT circuits and test modes as well as communicate design issues found. Work on pre-silicon tasks with MH and test teams to define required tester resources. Work with Test Engineering and HBM Product Engineering to ensure specific product requirements or limitations are comprehended, leading to silicon performance matching expectations. This work includes test program debug, examination of data, and test development. Support the ID1 fabrication site Process Integration and Yield Enhancement through test development, DOE data analysi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking to add a Quality Assessment Specialist to its growing Claims Operations team. This role is responsible for auditing the accuracy, compliance, and customer experience quality of claims intake and customer interactions — ensuring specialists meet documentation standards, follow SOPs, and deliver a consistent, empathetic experience. You'll balance independent case review with cross-functional calibration, feedback delivery, and process improvement, all in service of operational excellence and an exceptional claims experience for our users. Responsibilities: Conduct structured quality reviews of claims intake calls/tickets and customer-interaction touchpoints against a defined rubric including accuracy of documentation, adherence to SOPs, compliance with privacy/regulatory requirements, tone and professionalism Score interactions using a weighted rubric and maintain consistent, defensible scoring standards across reviewers Meet a defined audit volume/coverage target per week Participate in regular calibration sessions with other QA reviewers, Team Leads, and Sr. Specialists to ensure scoring consistency across reviewers and teams Flag rubric ambiguity and propose rubric updates as workflows or tools change (e.g., new intake fields, new compliance requirements, etc) Deliver clear, specific, and actionable feedback to specialists and Team Leads based on QA findings Partner with Team Leads/Trainers to identify coaching opportunities and recurring error patterns Track and report QA trends (accuracy rates, common errors, compliance gaps) to leadership on a regular cadence Identify systemic issues (tooling, SOP gaps, training gaps) surfaced through QA data and recommend fixes Support special projects such as audits, data reconciliation, and new-product rollouts Experience: 2+ years experience i

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek ca

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere seeks dynamic and dedicated Data Annotators with exceptional Modern Standard German Writing, Translation, and Data Manipulation skill. Please Note: This is a part-time independent contractor position available within Canada . We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 months contract. Performance incentives included! As a Data Annotation Specialist, you will: Label and Rank: Accurately label and rank machine learning data with advanced proficiency in German, ensuring data integrity and quality. Audit and Correct: Sc

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer Manager, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. Mentor and guide engineers, fostering knowledge sharing and best practices. What we are looking for? 8+ years of industry experience in data engineering. Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Data modelling and modern data platform design concepts Building and maintaining data platforms in Azure/AWS or GCP Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's