Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: - UK & Ireland's premier AWS, Microsoft & Oracle partner - 3300+ strong, €350/£300m revenue business - 10+ years as a Great Place to Work in Ireland & UK - Best Workplace for Women in the UK & Ireland by GPTW - Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description The Role We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale. This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments. What You’ll Be Doing - · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches - · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required) - · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks - · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient - · Optimising data performance, reliability, and data quality in live environments - · Collaborating with analysts, data scientists, AI engineers, and platform teams - · Mentoring junior engineers and contributing to shared standards and accelerators Qualifications What You’ll Bring - · 7+ years’ experience in hands‑on data engineering roles - · Strong data engineering skills using Databricks - · Strong programming skills in Python, Java, Spark and advanced SQL - · Proven experience building and running data pipelines in production - · Solid understanding of distributed systems and scalable data architectures - · Hands‑on experience with AWS data services and cloud‑native platforms - · Experience with Databricks or similar distributed data processing platforms - Solid understanding of data modeling and data quality approaches - Experience building and operating both batch and streaming data pipelines - · Familiarity with CI/CD, monitoring, and operational support of data platforms - Contribute to technical design discussions and help improve system performance, scalability, and reliability - Support production systems by troubleshooting issues and implementing improvement. Nice to Have - · Experience enabling ML, AI, or GenAI workloads through strong data foundations - · Exposure to modern BI and analytics tooling - · Experience working in regulated or security‑conscious environments - · Consulting or client‑facing delivery experience Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [email protected] at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo - Department: Digital, Data and Cloud

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: - UK & Ireland's premier AWS, Microsoft & Oracle partner - 3300+ strong, €350/£300m revenue business - 10+ years as a Great Place to Work in Ireland & UK - Best Workplace for Women in the UK & Ireland by GPTW - Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description The Role We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale. This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments. What You’ll Be Doing - · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches - · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required) - · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks - · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient - · Optimising data performance, reliability, and data quality in live environments - · Collaborating with analysts, data scientists, AI engineers, and platform teams - · Mentoring junior engineers and contributing to shared standards and accelerators Qualifications What You’ll Bring - · 5+ years’ experience in hands‑on data engineering roles - · Strong data engineering skills using Databricks - · Strong programming skills in Python, Java, Spark and advanced SQL - · Proven experience building and running data pipelines in production - · Solid understanding of distributed systems and scalable data architectures - · Hands‑on experience with AWS data services and cloud‑native platforms - · Experience with Databricks or similar distributed data processing platforms - Solid understanding of data modeling and data quality approaches - Experience building and operating both batch and streaming data pipelines - · Familiarity with CI/CD, monitoring, and operational support of data platforms - Contribute to technical design discussions and help improve system performance, scalability, and reliability - Support production systems by troubleshooting issues and implementing improvement. Nice to Have - · Experience enabling ML, AI, or GenAI workloads through strong data foundations - · Exposure to modern BI and analytics tooling - · Experience working in regulated or security‑conscious environments - · Consulting or client‑facing delivery experience Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [email protected] at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo - Department: Digital, Data and Cloud

Title: Staff Software Engineer – Enterprise Data Governance remote type Hybrid locations - Warren, Michigan, United States of America - Austin, Texas, United States of America time type Full time Job Description: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role The Enterprise Data Governance team is looking for a Level 8 Software Engineer to design, build, and operate enterprise-grade data governance and data platform capabilities. This role focuses on building robust, secure, and scalable services and UIs that enable data discovery, policy enforcement, lineage, and governance workflows across the enterprise. You will work closely with product owners, data governance SMEs, data platform engineers, and security teams to deliver high-quality software that underpins our data governance strategy. What You’ll Do - Design, develop, and maintain full-stack applications that support data governance capabilities (e.g., data catalogs, policy management, approvals, lineage views). - Build and enhance React front-end applications using TypeScript and modern JavaScript patterns. - Implement Python and Java backend services and APIs leveraging frameworks such as Django and Spring. - Design, implement, and optimize relational data models with PostgreSQL and integrate with Cosmos DB where appropriate. - Develop and maintain RESTful APIs used by internal services and UIs, ensuring reliability, security, and performance. - Apply strong Object-Oriented Programming (OOP) practices, design patterns, and clean code principles across the stack. - Build, test, and deploy services on Azure, leveraging managed services, containers, and PaaS capabilities where appropriate. - Use GitHub for version control, code reviews, CI/CD workflows, and collaboration. - Collaborate with architects, data engineers, and governance SMEs to translate functional and non-functional requirements into technical designs. - Contribute to engineering best practices, coding standards, observability, and operational readiness. - Participate in on-call and production support rotations as needed, troubleshooting and resolving issues in a timely manner. - Mentor junior engineers and contribute to a culture of continuous improvement, accountability, and learning. Your Skills & Abilities (Required Qualifications) - 8+ years of hands-on experience. - Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field; or equivalent practical experience. - Strong proficiency in React for building complex, component-based front-end applications. - Strong programming skills in Python and Java for backend/API development. - Hands-on experience with PostgreSQL (schema design, query optimization, migrations). - Professional experience building and operating solutions on Microsoft Azure. - Proficiency with TypeScript and JavaScript in production systems. - Hands-on experience with Django (or similar Python web frameworks) for API and service development. - Hands-on experience with Spring (Spring Boot or related) for Java-based services. - Strong understanding and practical use of Object-Oriented Programming concepts and design patterns. - Experience designing and implementing REST APIs, including versioning, authentication/authorization, and documentation. - Experience with Cosmos DB or equivalent cloud-native NoSQL/datastore technologies. - Proficiency with GitHub for source control, branching strategies, pull requests, and CI/CD pipelines. - Familiarity with secure coding practices, API security, secrets management, and identity/authorization patterns in the cloud. - Relevant professional experience in software engineering, preferably in data platforms, data governance, or other enterprise platform domains. - Experience operating in a large-scale, enterprise environment is a plus. - Proven ability to deliver high-quality software in an agile environment. - Strong problem-solving skills with the ability to decompose complex requirements into iterative, deliverable increments. - Effective communication skills with both technical and non-technical stakeholders. - Ability to work collaboratively in a global, cross-functional team and handle multiple priorities in a fast-paced environment. What Can Give You a Competitive Advantage (Preferred Qualifications) - Background in Big Data ecosystems and data analytics platforms (e.g., data lakes, lakehouses, or large-scale data processing systems). - Experience with Databricks platform and Databricks certifications. - Hands-on experience with Apache Spark (PySpark or Scala/Java) for data processing and analytics workloads. - Experience building or integrating with Agentic AI solutions, including: - Orchestrating tool-using agents or workflow-based AI systems. - Integrating LLM-based services into backend applications or UIs. - Applying AI to automate governance workflows, data quality checks, or metadata enrichment. - Experience with data governance tooling (e.g., data catalogs, lineage tools, policy engines) or similar enterprise data management platforms. - Familiarity with distributed systems concepts (scalability, resilience, consistency) and event-driven architectures. - Experience with observability stacks (logging, metrics, tracing) and performance optimization in production environments. This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Compensation: - The expected base compensation for this role is: $160,200 - $220,500. Actual base compensation within the identified range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Hey, I'm Avery, the CEO of Modash. I'm looking for someone to partner with me and lead the growth of our Data Products. This is a big, messy, exciting role and I want to be upfront about what it involves. Background & reason for hiring Modash has two sides: a SaaS platform used by brands to manage influencer marketing, and a data API used by companies building their own products on top of our creator data (380M+ profiles across Instagram, TikTok, and YouTube). The API business is growing fast but it needs a dedicated leader. Right now, the people working on API (sales, CSMs, marketing) are spread across different teams. Nobody wakes up in the morning with "grow the API business" as their singular focus. That needs to change. Our goal is ambitious: grow Data Products revenue 3x next year. That doesn't happen by accident. It happens because someone owns it end-to-end: the customer journey, the go-to-market, the deals, the people, all of it. What you'll actually own The full API customer journey & go-to-market. From how customers discover us, to how they buy, to how they expand. You'll figure out what's broken and fix it, then build the pipeline, pricing, and expansion motion that makes 3x repeatable. Revenue growth. You own the number. 3x revenue in 2026, and again in 2027. That means figuring out how we run big deals (account reviews, escalations, pricing), while also making sure the smaller deals don't fall through the cracks. The team. You'll lead API Sales, CSMs, and our API marketers directly. You'll collaborate closely with our Data teams and co-build our approach to custom solutions. The strategy. Think 12 months ahead. Repeat our "solution sales" motion, scale inbound, and hit 120%+ NRR by 2027. Here's a rough hypothesis of how the first 6 months might go — reality will differ: - Months 1 to 3: You're doing a bit of everything. Gathering context, talking to customers, sitting in on deals, picking low-hanging fruit, finding the real gaps. - Months 3 to 6: You start focusing. We agree on what hires are needed to run key functions. You take ownership of the most important area. - After that: The role narrows into whichever area becomes the biggest lever.