About the Role The Data Migration / Integrations Specialist will own the operational and technical work required to move customers onto Opendate and keep key integrations running reliably. This role sits at the intersection of customer onboarding, data operations, support, product, and engineering. You will work with exports from legacy systems, clean and validate data, import events, customers, orders, donations, holds, ticket types, seating-related data, marketing opt-ins, and historical records, and help troubleshoot integrations with systems like POS, marketing platforms, CRM tools, reporting tools, and third-party ticketing/distribution partners. This is a great fit for someone who is detail-oriented, technically curious, comfortable with messy data, and able to communicate clearly with both internal teams and customers. What You’ll Do Data Migration & Customer Onboarding - Own customer data migration projects from kickoff through QA and launch. - Review customer exports from legacy ticketing, CRM, POS, and marketing systems. - Clean, normalize, and map data into Opendate’s structure. - Import and validate records such as: - Events and recurring events - Ticket types and pricing - Customers, fans, and contacts - Orders, donations, and transaction history - Marketing opt-ins and audience segments - Holds, comps, guest lists, and venue-specific notes - Seating-related data where applicable - Build repeatable migration checklists, QA processes, and rollback plans. - Identify data inconsistencies before they become customer-facing issues. - Partner with customer success and implementation teams to ensure customers understand what was imported, where it lives, and how to use it. Integrations Support - Help configure, monitor, and troubleshoot integrations across Opendate’s ecosystem. - Support integrations involving systems such as POS, marketing tools, CRM platforms, calendars, reporting tools, SMS/email tools, advertising pixels, and distribution partners. - Investigate sync failures, missing records, duplicate records, broken mappings, stale data, and API/webhook issues. - Work with engineering to diagnose root causes and escalate issues with clear reproduction steps, logs, examples, and business impact. - Help define integration requirements based on real customer workflows. - Create internal documentation for common integration setup and troubleshooting paths. Data Operations & Production Support - Run and validate approved scripts, imports, backfills, and data correction workflows. - Use SQL, CSV tooling, admin tools, logs, and internal dashboards to investigate support escalations. - Help resolve production data issues involving events, orders, ticket counts, opt-ins, payouts, reports, imports, and sync jobs. - Create repeatable processes for common one-off fixes so they become less dependent on engineering. - QA migration and integration work in staging and production environments. - Maintain a high bar for data accuracy, customer communication, and operational safety. Process & Documentation - Build migration playbooks for common source systems. - Maintain field mapping documentation and import templates. - Document known edge cases, validation rules, and customer-specific requirements. - Create internal guides for customer success, support, and implementation teams. - Recommend product/admin tooling improvements that reduce manual migration and support work over time. What We’re Looking For - 2+ years of experience in data operations, technical implementation, integrations support, customer onboarding, solutions engineering, technical support, or a similar role. - Strong comfort working with spreadsheets, CSVs, exports, messy customer data, and structured records. - Ability to investigate technical issues across APIs, logs, dashboards, admin tools, and customer reports. - Strong attention to detail and comfort validating large sets of data. - Clear written communication and strong ownership of follow-through. - Ability to work with both technical and non-technical stakeholders. - Comfort operating in a fast-moving startup environment where priorities can shift quickly. - Strong judgment around production data, customer impact, and when to escalate. Nice to Have - Experience with ticketing, live events, venues, promoters, concerts, festivals, or event operations. - Experience migrating data from legacy SaaS platforms. - Experience with Ruby on Rails applications or reading application code. - Experience with Postgres, BigQuery, Looker, Metabase, Retool, or similar tools. - Experience with APIs, webhooks, OAuth, background jobs, or integration monitoring. - Experience with platforms such as Twilio, Stripe, Toast, Clover, Meta Ads / Conversions API, Google Calendar, HubSpot, or similar systems. - Experience supporting seating charts, ticketing inventory, orders, payouts, CRM records, or marketing automation. - Basic scripting ability in Ruby, Python, or JavaScript. You’ll Be Successful If You - Can take a messy customer export and turn it into clean, usable data in Opendate. - Catch problems before customers do. - Communicate clearly when something is blocked, risky, incomplete, or ready for launch. - Make repeatable processes out of one-off migration work. - Reduce the amount of migration and integration work that has to go directly to engineering. - Build trust with customer success, support, product, and engineering teams. - Care about getting the details right because small data issues can create real customer pain. Example Projects - Import historical customers, orders, donations, and marketing opt-ins from a legacy ticketing platform. - Troubleshoot why POS sales did not sync into an event report. - Validate ticket counts and order data after a migration. - Clean and import a venue’s upcoming event calendar. - Help configure SMS, email, advertising, or CRM-related integrations. - Investigate duplicate records, missing transaction history, or incorrect reporting totals. - Create a reusable migration checklist for a new legacy system. - Work with engineering to define better admin tools for import rollback, validation, and customer data review. Why Join Opendate You will play a critical role in helping venues and promoters move onto Opendate successfully. This role has direct customer impact, high visibility across the company, and the opportunity to shape the way Opendate scales onboarding, integrations, and data operations. If you like solving messy real-world data problems, working across teams, and making complex customer transitions feel simple, we’d love to talk.

Role Description As a Credit & Lending Data Engineer you’ll be an early member of a growing team building a pioneering platform in the debt infrastructure space. You will design, build, and launch efficient, scalable, and reliable data pipelines to move and transform data. What You’ll Do - Building databases, data lakes and data ingestion pipelines to integrate customer databases and datasets to our systems - Ingesting financial datasets from external customers, then updating and maintaining accurate and complete data mappings to ensure that our products are displaying high quality data - Monitoring and alerting across our data pipelines in order to make sure that our data ingests are reliable and correct - Translating business goals and stakeholder requirements into new data flows and deliver analytical insights ensuring that the data flows create real business value continuously Qualifications - 3+ years experience in a data engineering role working with credit or lending data - Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc. - Experience working with ETL technologies, such as Databricks, Fivetran, or dbt - Proficiency in writing SQL queries and knowledge of analytical data warehouses such as RedShift, BigQuery, and Snowflake - Some experience with CI/CD automation such as GitHub Actions - Developing APIs and integrating with 3rd party APIs - Bonus: experience in fintech / SaaS / credit analysis / lending Benefits - Remote: we are a remote-first company and are very flexible on hours as long as things get done - Home-office: there’s a $1000 USD home office allowance to set yourself up - Equity: we expect you to have an owner-mentality, and have the equity plan to match - Benefits: health, dental, vision, and more - Perks: we offer free lunches weekly and off-site trips - Job satisfaction: we offer autonomy, ample opportunities for mastery, and an opportunity to make a difference for companies around the world

• Du sorgst dafür, dass aus vielfältigen Netzdaten ein rechenfähiger, konsistenter digitaler Zwilling entsteht • Du integrierst und verknüpfst unterschiedliche Datenquellen von Netzbetreibern – z. B. GIS, Abrechnungssysteme, Leitwarten, Mess- und Sensordaten • Du bereitest Daten so auf, dass sie direkt in unseren Simulations- und Planungsmodellen genutzt werden können • Du entwickelst skalierbare Datenpipelines und Integrationslogiken für bestehende und neue Kundensysteme • Du bewertest und erprobst neue Technologien und Ansätze zur Verbesserung von Datenqualität, Konsistenz und Automatisierung • Du arbeitest eng mit Softwareentwicklung, Netzplanung und unseren Kund:innen zusammen, um fachliche Anforderungen in saubere Datenmodelle zu übersetzen

Role Description We are seeking a Senior Data Engineer to join our Data & AI team. You will work within multidisciplinary project teams across a range of client engagements, contributing to the design and development of robust data infrastructure, data pipelines, and scalable data solutions. You think strategically, are comfortable with open-ended data problems, and can contribute meaningfully to client conversations about data architecture, modernization, and AI readiness. The ideal candidate is technically grounded, consulting-minded, and equally comfortable navigating ambiguity, working across disciplines, and communicating clearly with stakeholders at all levels. Travel for client and stakeholder meetings may be required depending on engagement. Key Responsibilities - Design, develop, and optimize data pipelines and data infrastructure across a range of client engagements. - Contribute to data modeling, master data management, and taxonomy standardization across complex, multi-system environments. - Build and test API integrations and prototypes, including working with static data exports and mock stubs in early-phase delivery contexts. - Document data governance artefacts - data domains, critical data elements, quality rules, and data lineage - and support clients in building data governance capability. - Reverse-engineer legacy systems and extract business logic from poorly documented codebases, complex spreadsheet models, or fragmented data structures. - Collaborate with architects, designers, product managers, and client stakeholders to align data solutions with broader digital product and platform goals. - Contribute to AI readiness assessments - evaluating data coverage, quality, schema consistency, and lineage to identify gaps and support remediation. - Perform code reviews, mentor junior team members, and contribute to best practices across the Data & AI team. - Communicate data architecture and pipeline design clearly using schemas, data flow diagrams, and visual artefacts, for both technical and non-technical audiences. Qualifications - 5+ years of data engineering experience, including delivery in a consulting or client-facing environment. - Proficiency in Python and SQL for data wrangling, transformation, and pipeline development. - Experience in data modeling - designing master data schemas and drafting unified taxonomies across fragmented source systems. - Master Data Management (MDM) experience: cleansing, mapping, and standardizing inconsistent data into a governed structure. - Experience building ETL/ELT pipelines and working with cloud data platforms (AWS, Azure, or GCP). - Experience documenting data governance artefacts and contributing to data governance frameworks. - Ability to reverse-engineer legacy systems and extract business logic from poorly documented codebases or complex Excel/VBA models. - Strong communication skills - able to translate technical decisions clearly for both technical and non-technical stakeholders. - Comfortable operating in ambiguity and structuring a path forward without perfect requirements. - Willing and able to ramp on new technologies as client engagements evolve. Nice to Have - Familiarity with Microsoft Azure services (Azure SQL, Cosmos DB, Azure DevOps). - Experience with API mock development or prototyping in early-phase delivery contexts. - Experience with ERP or supply chain data structures. - Experience modernizing legacy integrations (SOAP/WCF to REST). - Database consolidation or migration experience (SQLite, MSSQL, or cloud databases). - Familiarity with modern orchestration and transformation tools (Airflow, dbt, Dagster, Prefect). - Background in manufacturing, engineering, or cost modelling domains. - Familiarity with enterprise integration platforms such as MuleSoft. - Experience with machine learning or predictive analytics frameworks. Benefits - Continuing education opportunities - Flexible PTO and work-from-home policies - Pension - Health and dental benefits - Company lunches, company outings, along with a lot of snacks - Health and wellness programs - Other location specific perks (just ask!) Next Steps If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform. By clicking the "Submit Application" button below, you give your express consent to process your data for this vacancy according to the Recruitment Privacy Notice. You can withdraw your consent at any time by contacting privacy@globallogic.com. You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.