Remote Data Engineering & Analytics Jobs

Data Scientist - Credit Cards Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Credit Cards team. You'll build the credit risk, pricing, and customer lifetime value models behind iwoca 's business credit card – who gets a card, with what features, and at what rate. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca . Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca launched its business credit card at the start of 2026. It gives small businesses a fast, flexible way to pay for what they need and control their cash flow, alongside iwoca 's loans. The card is a core part of iwoca 's long-term growth. The Credit Cards team builds the card on iwoca 's existing lending infrastructure and customer base. The team is made up of commercial strategy pr

Overview The Data & Insight Analyst is a mid-level position responsible for developing and supporting scalable analytics and reporting solutions that drive business decision-making. This role involves hands-on work with data integration, report development, and performance optimization across various data sources and BI tools. The Data & Insights Analyst collaborates closely with internal teams to translate business needs into actionable insights, supports automation efforts, and contributes to the improvement of data quality and reporting processes. This role requires strong technical skills, a problem-solving mindset, and a passion for turning data into meaningful information. Responsibilities Architect, design, and optimize scalable analytics and reporting solutions using SQL, Hadoop, Hive, and BI tools like Power BI and Tableau. Drive automation of reporting workflows and data processes to improve efficiency, accuracy, and timely insights. Serve as a Subject Matter Expert (SME) across data environments and reporting platforms, providing best practice guidance. Identify, communicate, and help resolve data quality and reconciliation issues. Collaborate with internal teams to address reporting questions and client-specific requests. Assist in enhancing existing reporting tools and dashboards. Lead development and optimization of complex, client-facing reports supporting strategic analysis. Complete all responsibilities as outlined in the annual performance review and

JOB DESCRIPTION: We are seeking a Data entry operator. As a data entry operator, you will be required to compile, merge, and format documents for data entry, check documents for errors, input data and update the database, and manage the digital filing systems. Data Entry Operator Responsibilities: Gathering, collating, and preparing documents, materials, and information for data entry. Conducting research to obtain information for incomplete documents and materials. Creating digital documents from paper or dictation. Reviewing all documents and information for accuracy and informing the supervisor of any errors or inconsistencies. Capturing data into digital databases and performing regular backups. Updating and maintaining databases, archives, and filing systems. Monitoring and reviewing databases and correcting errors or inconsistencies. Generating and exporting data reports, spreadsheets, and documents as needed. Performing clerical duties such as filing, monitoring office supplies, scanning, and printing as needed. Data Entry Operator Requirements: High school diploma or GED. 1 year experience as a data entry operator or similar. Excellent typing abilities. Excellent time management and multitasking abilities. Proficiency in data capturing and office management software such as MS Office and Google Suite. The ability to manage and process high volumes of data accurately. Good understanding of databases and digital and paper filing systems. Knowledge of administrative and

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

The Data Product Analyst serves as a critical bridge between business stakeholders and data engineering for the international data platform. This role combines strong SQL and technical depth with core business analysis skills to ensure that data is trustworthy, accurately specified, and effectively leveraged to inform decision making. The Data Product Analyst owns the path from business request to trusted data in production: eliciting complete requirements, following the work through build and release, and monitoring the data once it is live. Over time, the role becomes the subject matter expert for international data. Originally posted on Himalayas

Location: Remote (Germany) Employment Type: Full-time Professional Experience: 3-5 years Website & kununu About Us SIV.AG is part of the Harris Group and, as one of the leading solution partners for the German and international energy and water industries, we are actively shaping the future of these sectors. We owe our success primarily to our employees who, in collaboration with our customers, design and implement customized solutions for processes and services. Your Responsibilities Building and expanding AI components: You will develop automation modules for mapping suggestions, consistency checks, and log analysis, and bring them into production. Technical implementation of migration logic: You will implement and maintain transformation and test routines for model-driven migration—from data analysis to documentation. Customer contact (as needed): You will occasionally be involved in complex technical inquiries, such as data quality or special cases—internal coordination is the rule, not independent customer accountability. Quality assurance: You will be responsible for technical consistency checks and test protocols, and document them traceably. Team collaboration: You will coordinate closely with migration stakeholders—especially the migration team and R&D department. Continuous learning: You will monitor new models, frameworks, and automation patterns and introduce them.

Overview We are looking for seasoned Data Administrator to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for a more than just a "Database Administrator", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Contributions Lead and architect migration of data environments with performance and reliability. Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). Helping build the structure and design of the database Implementing security measures for the data Controlling access to the database Building different environments for development, testing and production Merging and migrating data when necessary Updating and patching systems to maintain compliance Designing and implementing data backups Restoring lost data Continually monitoring database systems Key must have skill sets – database management Support an Agile software development lifecycle You will contribute to the growth of our Data Exploitation Practice! Qualifications Ability to hold a position of public trust with the US government. 5+ years of experience in database administration, information technology, database architecture, or a related field Demonstrated on-the-job experience with large-scale data migration Demonstrated on-the-job experience designing storage and retr

Overview We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are looking for more than just a “Senior Data Warehouse Engineer,” but a highly skilled data technologist with strong communication and problem-solving abilities who thrives in cloud-based environments. Contributions Key Responsibilities: Lead and architect the migration of data environments with a focus on performance, reliability, and scalability. Design, implement, and optimize data warehouse solutions, ensuring best practices in data modeling, storage, and retrieval. Ability to examine and understand complex data pipelines. Assess, document, and analyze data sources, ETL workflows, and business intelligence tools. Address technical inquiries related to data warehouse customization, integration, and enterprise architecture. Develop and maintain robust data pipelines and ETL processes to support business intelligence and analytics. Design and enforce data governance strategies, ensuring high data quality and compliance. Work in an Agile development environment, collaborating with data scientists, engineers, and business stakeholders. Contribute to the growth of our Data Exploitation Practice by implementing cutting-edge data warehousing solutions. Qualifications Required Qualifications: Ability to hold a position of public trust with the US government. 5-7+ years of experience i

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Big Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Big Data Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $90,000–$110,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Big Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more years of professional experience designing

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Tasks and responsibilities: For a data and reporting project within police operations, we are looking for an experienced Data Engineer / BI Developer who combines backend data engineering with data extraction, transformation, and visualization in Power BI. In this role, you will contribute to the further expansion and modernization of a data lakehouse environment. You build end-to-end data solutions, from raw source data to actionable insights for operational and strategic reporting. In doing so, you ensure that data is correctly processed, modeled, and made available through high-performance dashboards and reports. Responsibilities: Backend / Data Engineering: Migrating existing data pipelines and data warehouse structures. Developing and maintaining data pipelines, ETL processes, and data transformations. Modeling data according to common methodologies such as Kimball, Inmon, and Data Vault. Developing data processing logic in SQL and Python. Working with Microsoft Fabric or the Azure data stack, such as Data Factory, Synapse, and Fabric. Utilizing complementary technologies such as dbt, Databricks, or Apache-based solutions where relevant. Contributing to best practices around data engineering, Git, versioning workflows, and deployment. Improving the scalability, reliability, and maintainability of the data lakehouse. BI & Visualization: Developing Power BI datasets, semantic models, dashboards, and reports. Delivering reports for both operational and strategic...

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

About the Company At OneClick Code, we are revolutionizing the roofing and restoration industry through smart automation, data transparency, and instant access to critical building information. Our mission is to empower contractors, adjusters, and insurance professionals with accurate, jurisdiction-specific codes and permit data, instantly, so they can work smarter, not harder. Founded in 2018, with a vision to eliminate the inefficiencies and guesswork that slow down claims and repairs, OneClick Code has become the go-to platform for accessing trusted roofing codes, manufacturer specifications, tax jurisdiction data, and permit requirements, all in just one click. We're a fast-growing, venture-backed startup that thrives on innovation, collaboration, and impact. As we scale, we're looking for mission-driven team members who are passionate about using technology to bring clarity and confidence to an often-overlooked corner of the construction world. The Opportunity The Senior Data & Analytics Engineer will own the reliability and evolution of the company’s data and analytics infrastructure, including data models, the warehouse, pipelines, integrations, and billing data. This role moves beyond reporting into data modeling, analytics architecture, instrumentation strategy, and cross-functional enablement. The person will independently identify opportunities, translate ambiguous business needs into clear analytics initiatives, and drive those initiatives from definition thro

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

About Wealth Enhancement Wealth Enhancement is an independent wealth management firm with an endless passion for enriching the lives of our clients. We continually seek to perfect our craft of personalized financial planning with our team-based Roundtable and UniFi processes that go far beyond the standard approach. We proudly provide unique financial plans and investment management services to over 90,000 households from our over 175 offices - and growing - nationwide. Since 1997, Wealth Enhancement has tirelessly raised the standard of wealth management with specialized knowledge and more attentive service that helps every client craft their future. For more information, please visit . We have an exciting opportunity for a Data Analyst , supporting the Finance Analytics team. In this role, you’ll analyze and interpret data to drive business decision-making, partner with stakeholders across the organization, and help build a new data ecosystem while advancing analytics capabilities. This is a great fit for someone who is naturally curious, highly analytical, and motivated to turn insights into action. This is a remote role, however, you must be willing to work CST hours. If located near our Headquarters in Plymouth, MN this will be a hybrid position working partially from office and partially from home. ***To be considered for this role, applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization. In

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

SAP Datasphere Consultant Profile Company Description: Volkswagen Vacancy Description Required: SAP Datasphere. Data replication flows from SAP ECC and/or S/4HANA utilizing SAP Datasphere. Data modeling (graphical views, analytic models, perspectives). SAC (SAP Analytics Cloud) integration. Orchestrated ELT/ETL pipelines and managed data ingestion using SAP Datasphere. SQL. Analytical data modeling. Query development for BI reporting tools. ERP: SAP, Oracle, Dynamics. General overview understanding. English proficient: B2 or higher. Experience: Staff: 1-2 years, Senior: 2+ years. Desirable: PowerBI design and development. SAP Financial table structure knowledge (ACDOCA, BKPF, BSEG, among others). Python (Pandas, NumPy). SQL Stored Procedures & Functions. Databricks, Spark. Snowflake. General Cloud Services: Azure, AWS, GCP. SAP BI Tools (BW, HANA modeling, SAP Analytics Cloud). Country of Assignment: Mexico. Project Type: Implementation and Support. Project Start: 2026-02-25. Project Duration: 3 months. Work Modality: Remote. Language: English B2 - Spanish. Originally posted on Himalayas

Company Description Client: Cervecería Polar Vacancy Description Master Data and Materials Consultant: Centralize in SAP S/4HANA the design of Material and Business Partner (Vendor and Customer) master data necessary for the execution of logistical flows, supporting the project's logistics team. This is not part of the data migration effort, but rather support in identifying the fields necessary for data migration. The Master Data team is a centralizing information team responsible for integrating the needs of each logistics module within the master data; that is, the definitions of the fields to be used by each process must be made by each module within the process design. Level E2 - Consultant: Consultants who have successfully worked on one or more client projects and possess deep knowledge and broad experience in at least one industry or specialized field to gather information, analyze client business processes, and draw conclusions. Consultants are expected to establish relationships with client personnel and provide timely, high-quality consulting. Experience: 2 to 4 years. 24 hours per week for approx. 6 months Employee Mini-Master Consultant: Design of the mini-master configuration and employee mini-master synchronization

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Roles & Responsibilities Strategic Leadership Define and own BukuWarung 's data strategy across payments, credit, fraud, and merchant growth Embed analytics into GTM planning, channel performance (OTS, Digital, Partnerships), and executive decision-making Be a credible partner to the management team & business heads - translating data into capital allocation and product prioritization decisions Drive BukuWarung 's roadmap toward a unified data infrastructure that consolidates all distribution channels and operations into a single internal system Credit Underwriting & BukuModal Build proprietary MSME credit scoring models leveraging BukuWarung 's payments transaction data, device usage patterns, merchant behavioral signals, and external alternative data sources Develop thin-file and no-file underwriting approaches suited to Indonesia's informal merchant economy Partner with BukuModal's lending team to define risk appetite, portfolio monitoring, and early warning systems for credit deterioration Build models that improve approval rates while managing NPL - demonstrating that financial inclusion and credit discipline are not in tension Fraud, Risk & Trust Design a near-real-time fraud detection engine across BukuWarung 's payments channels: covering EDC/POS, QRIS soundboxes, and digital payment flows Build risk models for merchant onboarding, transaction monitoring, and dispute resolution Define intervention logic: when to flag, step up, block, or escalate - tune