Data Technical Trainer Jobs

Als Technical Information Security Officer (TISO) in Rotterdam versterk je onze digitale veiligheid in een organisatie die volop in cloudtransitie is. Je werkt aan cloudsecurity, identity & access, vulnerability management en incident response, binnen een omgeving van moderne technologie én legacy. Vind je het leuk om zichtbaar verschil te maken? Dan voel je je hier waarschijnlijk snel op je plek. We don't want to disappoint, but we only accept applicants that have a good command of the Dutch language and are already (or about to be) based in the Netherlands. Hier krijg jij positieve energie van Het verbeteren van onze technische security, van Azure-cloudsecurity en identity & access tot endpoint- en vulnerability management. Het analyseren en opvolgen van security-incidenten en samen met ons SOC en DevOps-teams dreigingen vertalen naar concrete acties. Het zoeken naar praktische oplossingen die onze organisatie stap voor stap veiliger maken. Dit ga je doen als Technical Information Security Officer We zitten midden in een transitie naar de cloud, waar moderne technologie en legacy samenkomen. In deze rol versterk je onze Azure- en Microsoft-security en werk je onder andere met Microsoft Defender XDR, Conditional Access en Intune. Je ontwikkelt en verbetert detecties in Microsoft Defender XDR, onder andere met KQL, vertaalt dreigingsinformatie naar concrete acties en helpt security stevig te verankeren in onze DevSecOps-keten. Bij incidenten voer je zelf de eerste analyse uit en werk je samen met ons externe SOC aan de verdere afhandeling. Daarnaast help je technische risico’s te vertalen naar heldere adviezen voor teams en management. Ook help je het securitybewustzijn binnen de organisatie te vergroten en draag je bij aan trainingen, e-learnings en phishingcampagnes. Je begeleidt pentests en red-team-oefeningen, bewaakt CIS-baselines en staat als ‘officer of the day’ klaar voor vragen en meldingen. Jouw uitdagingen Navigeren tussen moderne cloudsecurity en een bes

Warning: Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters. Why us? Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. Join us if you like $1.3 Trillion market opportunity MIT alumni founders Female-led startup $130M total funding Strong leadership team with experience from many successful startups around the world Insurify is looking for a Technical Business Analyst to be a part of a rotational analytics program. Analysts will have the opportunity to work within our Marketing, Product, Partnerships, and Engineering teams to solve cross-functional, high velocity, high impact analytics problems and scale the business using data.This will include a mix of business analytics, analytics engineering, product analytics, and data science using SQL and Python. This role is about using data to make our company better across all areas of the business, so we want people who are excited to

About the Role We are looking for a Data Analytics Consultant in Taiwan to join our Enterprise Solution team. In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation. To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations. Responsibilities Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit. Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and clients to identify business pain points and provide actionable analytical suggestions. Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results. Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks) A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance. Solution Modeling & Frameworks: Design structured frameworks based on client

As a Technical Project Manager, you will be leading a team to build a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. Responsibilities : Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with CIO, VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Build a delivery plan with domain experts and stay on track Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Build team and manage it day to day basis Play the key role of hiring manager to build the future of Sigmoid. Guiding developers in day to day design and coding tasks, stepping in to code if needed. Define your team structure, Hire and train your team as needed Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid Hands on coder with good understanding on enterprise level code Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment Culture Must be a strategic thinker with the ability to think unconventional / out:of:box. Analytical and data driven orientation. Raw intellect, talent and energy are critical. Entrepreneurial and Agile : understands the demands of a private, high growth company. Ability to be both a leader and hands on "doer". Qualifications : - 10+ year track record of relevant wo

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Technical Consultant / Senior AI Engineer , you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment. Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind. Lead complex PoCs & pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products. Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails. Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. Quality, se

MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Cork and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professi

MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of profes

GAQ126R43 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for an SAP Technical Lead to own the technical architecture and delivery of our SAP platform. In this role, you'll define the technical vision for a clean-core S/4HANA landscape, lead the engineers who build on it, and architect the intelligent, agentic AI layer that sits between SAP and the Databricks Data Intelligence Platform. You'll set the standards, make the hard build-versus-adopt calls, and ensure everything we ship is secure, performant, and built to scale. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Technical Lead, you will own how those processes are engineered—from the clean-core S/4HANA core and its extensions, to the integration fabric that connects SAP to the rest of the enterprise, to the AI and agentic services that make the experience intelligent. Rather than accumulating custom code inside the digital core, you'll champion a modern extensibility model on SAP BTP and the Databricks Lakehouse, so Finance teams get automated, AI-driven workflows on top of a core that stays clean, upgradable, and fast. Your mission is to combine the strength of SAP with the power of Databricks AI to build a te

Data Engineer (AWS/Databricks) About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: Senior Data Engineer (AWS/Databricks) Experience: 5+ Years Location: Pune Interview Process: One mandatory in-person interview round at the client's office in Pune Job Summary We are looking for a highly skilled and experienced Senior Data Engineer (AWS/Databricks) with 5+ years of hands-on experience in designing, developing, and optimizing scalable data engineering solutions. The ideal candidate should have strong expertise in Python, SQL, PySpark, AWS, Databricks, ETL/ELT pipelines, and cloud-based data platforms . The role requires strong technical capabilities in distributed data processing, data modeling, performance optimization, and building ente

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying autonomous technologies in a service used by millions of people, then we want to talk to you! About the Role As a Technical Recruiter, you will partner closely with engineering and robotics leadership to own full-cycle hiring for our robotics and autonomy initiatives, from intake and sourcing strategy through offer close. You will leverage deep market knowledge and talent insights to attract and hire highly specialized candidates, while advising leaders on hiring priorities, role design, and interview strategy. You will also drive interview best practices and inclusive, structured hiring processes to deliver a high-quality, consistent candidate experience. This position requires an uncommon balance of teamwork, dedication, and interpersonal skills. You are expected to have technical literacy to evaluate engineering talent and act as a representative for the DoorDash brand. You will manage a diverse set of roles, maintain a high standard for talent, and drive the recruitment lifecycle to completion. You’re excited about this opportunity because you will… Partner with DoorDash Labs leaders to qualify technical requirements and develop tailored strategies for team growth. Collaborate with a robust sourcing team to review talent pipelines and ensure a consistent flow of high-caliber candidates for specialized roles. Lead the offer and closing process by navigating complex compensation conversations, addressing candidate concerns, and effectively selling the opportunity. Leverage data, your knowledge, and industry trends to build and execute on creative closing strategies Assist in creating and maintaining a world-class candidate experience We’re excited about you because… 5+ years of experience in technical sourcing or recruiting within autonomy, robotics, or a similarly niche

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As Senior Technical Program Manager for the Human-in-the-Loop (HITL) Operations , you will own the end-to-end lifecycle of Roblox's AI data labeling and model evaluation ecosystem. This is a high-leverage, high-ownership role at the intersection of Research, Engineering, and Operations. You will scale our data operations that is handling million of items evaluated annually today with projection of 4x the current volume by 2030, managing a multi-million annual budget and a distributed workforce of 100+ remote contractors — all while driving the platform evolution from manual workflows to AI-assisted, LLM-accelerated operations. This is a rare opportunity to build the data infrastructure that directly determines the quality of Roblox's AI models across creator tools, content discovery, in-experience AI, and 3D generative content — at the exact moment when human judgment is the critical ingredient for getting these models right. You Will Lead data programs end-to-end. Own the full lifecycle of labeling and model evaluation workflows across Roblox's AI teams — from translating ambiguous ML requirements into structured annotation tasks, to overseeing contractor execution, quality review, a

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all can

The data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development. MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure. We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week. Cool things you’ll do You’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll: Solve customer challenges across architecture, performance, recovery, and security Lead investigations from diagnosis to resolution, providing clear, actionable guidance Partner with Product Management and Engineering to advocate for customers and improve MongoDB Build tools, documentation, and training while mentoring peers and raising technical excellence What you need We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following: 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field Experience running complex, mission-critical production database systems Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS Ability

Datadog helps technical teams understand their systems. More and more, those teams want to know what a problem costs the business. Today the business context for that answer typically sits in a data warehouse. We want to equip customers to answer this question directly in Datadog. We're bringing business data into Datadog. You'll start with owning the Datadog SQL (DDSQL) and Sheets products. DDSQL lets people query across their Datadog data in SQL, and Sheets gives them a spreadsheet to pivot, look up, and calculate on that data without writing a query. Once you have a handle, you will grow into building out a strategy and execution plan for bringing business data into Datadog. This encompasses data warehouse connections, schema discovery, semantic encoding, and new visualization. As this initiative grows, you will explore new capabilities that can be built using both warehouse and telemetry data in one platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you'll do: Lead SQL and Sheets end to end, growing them into the main way customers query Datadog and warehouse data Define how customers connect their warehouses and join that data to Datadog telemetry, with the access controls and performance that make it usable at scale Build reusable metrics and joins so teams can build on each other's work instead of starting over Bring business data into our AI agent Bits so operational investigations can draw on customer and revenue context Make analysis easy to organize and distribute, from folders and tags to scheduled reports Partner with design to set a high bar for information architecture and visual polish in complex analytical workflows Use customer research and product analytics to find what keeps teams from doing this work in Datadog today, then improve disco

The worldwide data management software market is massive, forecasted to grow from approximately $82 billion in 2023 to approximately $137 billion in 2027. At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. We are looking for a Technical Services Engineer to join our team in Dublin for a dedicated Tuesday through Saturday shift. We are looking to speak to candidates who are based in Dublin for our hybrid working model. About the Team MongoDB Technical Services Engineers (TSEs) use their exceptional problem-solving and customer service skills, along with deep technical experience, to advise customers and solve complex MongoDB problems. TSEs are experts in the entire MongoDB ecosystem, including the database server, drivers, and services like Atlas and Cloud Manager. Our engineers combine MongoDB expertise with passion, initiative, and teamwork to achieve exceptional results. Cool Things You’ll Do Work alongside our largest customers and partners to solve complex issues involving architecture, performance, recovery, and security Serve as an expert resource on standard methodologies for running MongoDB at scale Act as an advocate for customer and partner needs by collaborating with product management and development teams Contribute to internal projects, such as the software development of support tools for performance, benchmarking, and diagnostics Mentor and ramp up new team members while building knowledge of new product lines within the MongoDB ecosystem Work with top ISV partners to ensure excellence for joint customers What You Need Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, and troubleshooting A strong understanding of net