Role Description We are currently looking for a new Business Data Migration Consultant – Finance (SAP) to support our growing team and ongoing transformation initiatives. - Plan and execute business-side data migration activities for Finance data objects in line with global, deployment, and country-specific requirements and timelines. - Perform and coordinate data cleansing activities, ensuring completion within agreed schedules and quality standards. - Complete data collection activities for manual and construction data objects. - Collaborate with IT teams to prepare, validate, and maintain value mappings between source and target systems. - Create and maintain master data lists for assigned Finance data objects where applicable. - Provide business insights and detailed information to technical teams to support data extraction and conversion from legacy systems. - Work closely with IT teams and Business Data Owners to identify and confirm country-specific data objects in scope. - Ensure data readiness and data quality throughout the entire migration lifecycle for assigned Finance data objects. - Verify that data is fit for purpose and aligned with business requirements and stakeholder expectations. - Review and formally approve upload files before and after data loads. - Perform manual (type-in) data loads into target systems where required. - Execute dual maintenance activities to ensure data consistency across systems. - Execute and approve data verification scripts and validation activities. - Act as the functional Single Point of Contact (SPoC) for assigned Finance data objects during migration and Hypercare phases. - Support defect management activities, ensuring timely resolution of data related issues. Qualifications - 5+ years of experience in country-level and global roles, preferably within large-scale ERP transformation programs. - Proven SAP project implementation experience. - Strong SAP Finance process knowledge, including Finance master data, Fixed Assets, General Ledger (GL), Profit & Loss (P&L) reporting, WBS, Internal Orders, Accounts Payable (AP), and Accounts Receivable (AR). - Hands-on experience with business-side data migration, including data cleansing, mapping, validation, reconciliation, and sign-off activities. - Strong understanding of Finance data structures and dependencies within SAP environments. - Excellent stakeholder management, communication, and negotiation skills. - Ability to work both strategically and hands-on, including facilitating meetings, tracking progress, and managing issues and risks. - Advanced Microsoft Excel skills for data analysis, cleansing, and reconciliation. - Fluent English and Spanish. - Bachelor’s or Master’s degree preferred. - Candidates must declare criminal record extract not older than three months. Benefits - Broad range of activities, tasks, and projects. - Flexible working conditions. - Minimum 5 weeks of vacation. - Paid sick days. - Meal vouchers. - Vouchers (B-day voucher, wedding, and new born surprise). - Contributions to wellness programs (multisport card). - Fishing for Friends program – our referral program. - Refreshments in the D-ploy office. - Further development and professional advancement. - Friendly and international working environment. - Company-sponsored events. - Competitive salary and various benefits.

Role Description Use your coding and data skills to work on the most important challenge of our time: shifting the world to clean energy. Ember publishes the best-in-class dataset on global electricity generation and the data team is growing as we expand our datasets to new areas such as installed renewable capacity, price, battery storage, grids and flexibility, EV and heat pump deployment. We are looking for someone to use their data and coding skills to ensure we can quickly gather and curate data from new sources, as well as helping to run, maintain and document existing data pipelines. This role offers an exciting opportunity to learn from a knowledgeable and passionate team of engineers and analysts while applying your development skills towards the clean energy transition. Key Responsibilities - Develop new ETL scripts using Python to gather and validate data from a variety of sources e.g. APIs, web scraping. - Work with our data engineering team to deploy ETL scripts within our orchestrated data platform based on Dagster and BigQuery. - Help run, maintain, and improve existing data pipelines. - Help ensure that our pipelines are written using best coding and data practices. - Help ensure Ember’s data and output are of the highest standard. Qualifications - At least one year experience developing and deploying Python code. - Experience working with SQL databases. - Numerate and data literate, with excellent data extraction and transformation skills. - A thoughtful and selective approach to the use of AI coding tools and the ability to critically evaluate their outputs. - Fluent in spoken and written English. - Passionate about clean energy. - Driven and keen to learn. - Systematic with careful attention to detail. - Ability to work as part of a remote international team. Requirements - Experience developing data pipelines on an orchestration platform such as Dagster (preferred), Airflow, dbt or Prefect. - Experience with version control software such as Git. - Experience working on cloud platforms, such as GCP (preferred), AWS or Azure. - Experience working with business users to turn research questions into specific data requirements, and developing to those requirements. - Other language skills. - Previous experience within the power sector or clean energy sector. Benefits - We operate a nine-day fortnight meaning our full-time staff are given every other Friday off work with no reduction in pay. - 25 days holiday, plus UK bank holidays (unless local statutory minimums are higher) and for each year that you're part of the team at Ember you'll receive an additional day of holiday, up to a maximum of 5 additional days. - Generous paid maternity and paternity leave. - Flexible working conditions, including the opportunity for part-time work and home working. - Access to a local working space can also be arranged for employees. - Free annual eye tests. - Access to a counselling service. - Funding and allocated time for your training and development. - Paid volunteer day. - Four paid days off to enable low carbon travel. - Time off to donate blood.

Design and maintain scalable data pipelines, optimize datasets for analytics, collaborate with cross-functional teams to support business goals, and drive innovation in data engineering practices to enhance quality and efficiency.

Design, build, and maintain scalable data pipelines while optimizing datasets for advanced analytics. Collaborate with cross-functional teams to enhance data quality and drive continuous improvement in data engineering practices.