business analyst

data engineer

software engineer

backend developer

qa engineer

analytics engineer

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 We&rsquo;re shaping the future of financial technology at Trendyol.
 
 
 As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.
 
 
 With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.
 
 
 
 
 
 We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology
 
 
 
 
 
 
 About the Role
 
 
 
 As an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.
 </li>
 <li>
 Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).
 </li>
 <li>
 Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.
 </li>
 <li>
 Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a "single source of truth." Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.
 </li>
 <li>
 Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.
 </li>
 <li>
 Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.
 </li>
 <li>
 3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.
 </li>
 <li>
 Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.
 </li>
 <li>
 Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).
 </li>
 <li>
 Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.
 </li>
 <li>
 Experience applying software engineering best practices to data, including version control (Git) and CI/CD.
 </li>
 <li>
 Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.
 </li>
 <li>
 An agile mindset for data product development.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Analytics Engineer

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at TurkNet
 
 
 
 
 
 We&rsquo;re looking for experienced Data Engineer to join our game changer team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Ensuring uninterrupted and reliable transmission of data flows within the scope of compliance with regulations; establishing, maintaining and developing the necessary system architectures and data lines in this direction
 </li>
 <li>
 To ensure that data to be sent to regulatory bodies on a periodic or event-based basis is packaged and transmitted in a timely, error-free and as automated as possible.
 </li>
 <li>
 Establish and operate control and verification systems to ensure that data from different sources are consistent with each other.
 </li>
 <li>
 Establishing monitoring systems for continuity and performance monitoring in data transmission, creating alarm configurations and producing preventive solutions against possible interruptions.
 </li>
 <li>
 Creating data models to meet regulatory reporting needs; working with different technical teams to ensure integration with source systems.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Engineering, Software Engineering, Industrial Engineering or related engineering/quantitative fields.
 </li>
 <li>
 Advanced knowledge and experience in SQL and data modeling.
 </li>
 <li>
 Experience in data warehouse (DWH) modeling.
 </li>
 <li>
 Experience in the design, development and management of ETL/ELT processes.
 </li>
 <li>
 Practical knowledge of working with large data sets, data integration and data validation processes.
 </li>
 <li>
 Experience in data platforms and workflow tools such as Apache Airflow, Spark, Kafka.
 </li>
 <li>
 To be actively involved in data processing and back-end development processes with Python, Java, .Net or similar languages.
 </li>
 <li>
 To have experience in working with version control systems.
 </li>
 <li>
 Disciplined work on technical documentation and data schema tracking.
 </li>
 <li>
 To be willing to work in public regulations, legislative compliance and audit-oriented data processes and to be open to development in this field.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Engineer. You should therefore have more than 3 years of experience in a Data Engineer role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 ✅Our hiring process
 
 
 
 We&rsquo;re guided by our goal of creating an equitable and inclusive experience where candidates from a wide variety of backgrounds have an opportunity to succeed.
 
 
 We do not imagine a complex recruitment process. That's why do we care that the process is short, fast and transparent.
 
 
 1.Application: You can apply for open positions on LinkedIn.
 
 
 2.First Interview: We want above all to assess your skills and see if you and TurkNet values are a match.
 
 
 3.Case study: We may need to test technical skill for some positions.
 
 
 4.Second Interview: Deep dive to your technical skills by hiring manager
 
 
 5.Welcome TurkNet!
 
</div>

Data Engineer

Armut Teknoloji AS

<div>Armut / Homerun is a leading local services marketplace with over 700,000 professionals across 4,000 services and has seen over 1000% revenue growth in 5 years. Our purpose is to make it easy to find good quality, trusted providers by using the latest technologies and machine learning algorithms. We serve over 5 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth with the new investment round of 15 Million &euro; and increasing the number of operating countries in the EMEA region. 
Our strength is rooted in our core values: always putting our customers first, solving problems with data and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers 
Join us on our journey to be the EMEA leader in the local services marketplace! 
You Will:<ul><li>
Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>
Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>
Attend the Data Team ceremonies on a weekly basis to ensure consistency and state of the art best practices are deployed in the Category Team too</li><li>
Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>
Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>
Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul>
You Are:<ul><li>
Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>
Experienced in related fields minimum 4 years.</li><li>
Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>
Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>
Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>
Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>
Proficient in developing and applying machine learning models for prediction and automation.</li><li>
Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>
A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 
Why Join Us<ul><li>
Competitive salary,</li><li>
An opportunity to bring impact and change the service market dynamics, in a stimulating and international environment,</li><li>
Freedom to test, fail and test again in a fast-paced environment,</li><li>
Never-ending growth opportunities supported by learning &amp; development fund,</li><li>
Working environment where your success is not judged by a dress code or working hours,</li><li>
Extra vacation time, flexible working hours and the possibility to work from home,</li><li>
Beach days, theme nights, sports &amp; game events and any other social activity ideas you come up with!</li></ul> 
Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul>
348J5X2mcD</div>

Category Automation Manager

United Technologies Corporation

<div><div>About us 
</div><div></div> 
<div>Our products are reaching top positions in their categories on App Store and Google Play. 96 million people around the world use it. Our products are well-known among users from the US, UK, Canada, and leading European and Middle East countries.
</div><div>We&rsquo;re passionate about human connection and autonomy. We desire to grow our team in Turkey for a new product in the interactive story genre of lifestyle games. 
</div><div></div> 
 
 
<div>About the job 
</div><div></div> 
<div>We are looking for a Backend &amp; Data Engineer (PlayFab / Azure / BigQuery) who will own and evolve our game backend systems and data pipelines powering live operations, analytics, and business intelligence. 
</div><div></div> 
<div>You&rsquo;ll work closely with the product, analytics, and LiveOps teams to ensure a reliable, secure, and efficient flow of data &mdash; from the game client to backend servers and dashboards.</div></div><div></div>

Backend & Data Engineer (PlayFab / Azure / BigQuery)

Samsung Electronics

<div>
 
 
 Customer Service I Field Operations Support Assistant Manager
 
 
 
 
 
 
 To be assigned in Customer Service Department, we are looking for a Field Operations Support Assistant Manager with below qualifications;
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 
 Field Operations Support Assistant Manager
 
 involves overseeing and supporting field operations of the Customer Service department, mostly for Home Appliances and AV products, ensuring that Samsung customers receive top quality support and services.
 
 <ul>
 <li>
 Partner and performance management of Brand Engineer operation to ensure a smooth and efficient process, including procurements, certifications, administrative works of the related service accounts.
 </li>
 <li>
 Take ownership of improving field operation by working cooperatively with related departments and business partners. Coordinating with other departments such as HR, procurement, legal, finance, field and related departments in the customer service division to ensure that the needs of the operation is fulfilled.
 </li>
 <li>
 Creating and managing partner &amp; vendor contracts, monitoring SLA&rsquo;s, procurement processes.
 </li>
 <li>
 PnL management of the Brand Engineer operation, prepare budget plan, run variance analysis and rolling forecasts.
 </li>
 <li>
 Keep track of service income and operational costs to identify areas for improvement. Prepare regular reports and drive the implementation of actions focused on increasing field technicians productivity, service sales income and reducing costs.
 </li>
 <li>
 Manage the relationships with service B2B key accounts and make the agreements in line with providing proper administrative and financial requirements.
 </li>
 <li>
 Coordinate authorized service centers to acquire aftersales certifications of Turkish Standarts Institute (TSE) and manage certification cost, process and the operation of the partner company.
 </li>
 </ul>
 
 
 
 
 
 Skills And Qualifications
 
 
 
 
 
 <ul>
 <li>
 B.Sc. or Master degree from Business Administration, Engineering Departments, or Economics
 </li>
 <li>
 +5 years of experience in customer service, project management or related functions, preferably within the Consumer Electronics or related industries.
 </li>
 <li>
 Adaptive and entrepreneurial approach: demonstrates flexibility, energy, and initiative in fast-paced, unpredictable, and matrix business environment.
 </li>
 <li>
 Can work under pressure with tight deadlines and can handle escalations calmly and competently.
 </li>
 <li>
 Ability to collaborate with international teams and adapting strategies to align with global plan.
 </li>
 <li>
 Demonstrated skills at multi-tasking, planning and organization.
 </li>
 <li>
 Strong analytical and problem solving skills with result oriented mindset.
 </li>
 <li>
 Proficiency in leveraging data analytics to derive insights, identify trends to optimize after-sales processes.
 </li>
 <li>
 Strong commitment to understand operational needs and expectations, driving process optimization strategies across service center operations, Samsung departments and vendors.
 </li>
 <li>
 Advanced English skills, excellent written and verbal communication skills.
 </li>
 <li>
 Proficiency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc).
 </li>
 </ul>
 
 
</div>

Field Operations Support Assistant Manager

ShortPoint

<div>We are seeking a talented and motivated Senior AI-Augmented Front-end Engineer with deep React knowledge to join our growing team. This is an exciting opportunity to work on cutting-edge projects using modern technologies and contribute to the development of high-quality software solutions.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Build and implement user-friendly, responsive frontend applications using React, with a focus on usability and accessibility.</li><li>
Leverage AI tools and capabilities (e.g., code generation, debugging assistants, test automation, design-to-code pipelines) to accelerate feature delivery and improve engineering efficiency.</li><li>
Apply prompt engineering best practices to interact with AI systems effectively, refine outputs, and integrate AI-driven solutions into the product.</li><li>
Collaborate with cross-functional teams (product, design, QA, data) to define, design, and ship new features, including those enhanced by AI/ML capabilities.</li><li>
Write clean, maintainable, testable, and well-documented code, incorporating AI-assisted code review and refactoring where beneficial.</li><li>
Strong understanding of asynchronous programming, concurrency control, and promise-based flow in Node.js.</li><li>
Participate in and contribute to AI-augmented code reviews, proactively driving improvements in code quality and development practices.</li><li>
Troubleshoot and debug issues across the entire stack, utilizing AI debugging and observability tools to identify root causes efficiently.</li><li>
Contribute to SRE practices, including monitoring, alerting, incident response, and applying AI-driven observability/incident analysis where applicable.</li><li>
Assist in setting up and maintaining CI/CD pipelines, with an eye toward AI-assisted automation and validation.</li><li>
Collaborate with data engineering teams, understand and contribute to data pipelines, and support AI-driven analytics or transformations.</li><li>
Design, develop, and maintain RESTful APIs, ensuring they are scalable, secure, and AI-ready (supporting integrations with AI models or services).</li><li>
Implement API versioning strategies to ensure backward compatibility.</li><li>
Emphasize writing testable code with strong experience in unit and integration testing frameworks, while also using AI-assisted test generation to expand coverage.</li><li>
Stay on top of the latest AI models, frameworks, and tools (e.g., GPT-5, Claude, open-source LLMs, agentic frameworks) and actively follow industry updates to keep the team aligned with cutting-edge practices.</li><li>
Proactively introduce relevant AI-driven innovations that can improve product capabilities, development velocity, or operational efficiency.</li><li>
If you are interested in this position, please answer the last question in the application form with the keyword &ldquo;bear&rdquo;</li></ul><ul><li>
Proven experience as a Frontend Engineer with a strong focus on building sophisticated, scalable, and high-performing React applications.</li><li>
Deep understanding of React and its ecosystem (hooks, state management, performance optimization, SSR/Next.js familiarity is a plus).</li><li>
Solid grasp of modern frontend engineering practices: reusable component design, accessibility, responsive layouts, and cross-browser compatibility.</li><li>
Proficiency in JavaScript/TypeScript and modern tooling (Webpack, Vite, Babel, ESLint, etc.).</li><li>
Strong problem-solving and debugging skills, with the ability to troubleshoot complex UI/UX issues.</li><li>
Understanding of SRE principles (monitoring, logging, error handling) as they apply to frontend reliability.</li><li>
Experience with CI/CD pipelines and version control (Git, GitHub/GitLab).</li><li>
Excellent communication and teamwork abilities to collaborate across product, design, and engineering teams.</li><li>
Strong eye for detail and the ability to implement and execute sophisticated designs flawlessly</li></ul><h4 class="jobSectionHeader">
What We Offer</h4>
We believe in investing in our employees holistically by offering competitive compensation commensurate with experience, flexible schedule arrangements, allotted personal time and vacation days, fitness benefits and medical assistance, and company-paid professional training. This ensures that everyone is comfortable in their daily life, maintaining a good work-to-life balance, and staying happy and healthy at all times. As part of the team, you would be provided with:<ul><li>
Working remotely</li><li>
Medical Insurance</li><li>
30 days annual leave/year</li><li>
60 hours per year for personal time</li><li>
15 days of public holidays</li><li>
Unlimited paid sick days</li><li>
Maternity time off</li><li>
Work equipment provided</li><li>
Gym compensation</li><li>
Professional training and development</li></ul></div>

Senior AI Augmented React Engineer (JavaScript/TypeScript)

Innovance Consultancy

<div>
 
 
 About the Role:
 
 
 
 
 
 
 We are looking for a passionate
 
 Data Engineer
 
 to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
 </li>
 <li>
 Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
 </li>
 <li>
 Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
 </li>
 <li>
 Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
 </li>
 <li>
 Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
 </li>
 <li>
 Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
 </li>
 <li>
 3+ years of hands-on experience in Data Engineering or Data Warehousing
 </li>
 <li>
 Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
 </li>
 <li>
 Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
 </li>
 <li>
 Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
 </li>
 <li>
 Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
 </li>
 <li>
 In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
 </li>
 <li>
 Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <ul>
 <li>
 Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
 </li>
 <li>
 Experience with real-time data processing and streaming technologies, such as Kafka
 </li>
 <li>
 Familiarity with workflow management platforms like Airflow
 </li>
 <li>
 Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
 </li>
 <li>
 Familiarity with BI tools such as Power BI
 </li>
 <li>
 Experience in the banking or finance industry is a significant advantage
 </li>
 </ul>
 
 
 
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Excellent communication skills in English, both written and verbal
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and a results-oriented mindset
 </li>
 <li>
 A team player with the ability to communicate effectively with stakeholders at all technical levels
 </li>
 <li>
 Detail-oriented with a commitment to delivering high-quality work
 </li>
 </ul>
 
 
 
 
 
 
 Follow us:
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/innovance-consultancy
 </li>
 <li>
 LinkedIn: https://www.linkedin.com/company/dataspecta
 </li>
 <li>
 Instagram: https://www.instagram.com/innovanceconsultancy
 </li>
 <li>
 Instagram: https://www.instagram.com/dataspecta
 </li>
 </ul>
 
 
</div>

Explore 424+ Analytics engineer in Istanbul this October. Find roles across top companies and apply now to boost your career.

424 analytics engineer jobs IN Istanbul

Analytics Engineer

Data Engineer

Category Automation Manager

Backend & Data Engineer (PlayFab / Azure / BigQuery)

Field Operations Support Assistant Manager

Senior AI Augmented React Engineer (JavaScript/TypeScript)

Data Engineer