Volkswagen Group Services is excited to present a fantastic opportunity to join our Volkswagen Digital:Hub in Spain. As part of the global Software Development Centre network in the Volkswagen Group, we constantly seek talented individuals ready to bring their unique skills to our projects. Our start-up environment is collaborative, innovative, and open to new ideas. We strive to cultivate a work culture that encourages individual growth, team empowerment, and project excellence. We value respect, teamwork, and the common purpose that binds us as a group. If you're ready to thrive in a dynamic start-up environment and be part of our family, supported by one of the largest companies in the world, we invite you to read further. About the Team and the Hub: - Our culture is centered around fostering individual growth and team empowerment within a flexible and supportive environment. - We prioritize respect, teamwork, and inclusivity, recognizing and valuing the unique contributions of each member. - We embrace a work-life balance philosophy and encourage continuous personal and professional development Responsibilities: Designing and Building Data Pipelines - Design, build, and maintain scalable data pipelines that ingest data from external systems, transform it, and load it into noSQL databases. - Define and evolve transformation logic to ensure data quality, consistency, and schema alignment across heterogeneous source systems. - Analyze and understand external system interfaces to inform integration design and anticipate upstream changes. Data Modeling and Design - Design and maintain document-oriented data models, ensuring they support current and future business requirements. - Create and maintain data model visualizations to support cross-team alignment and architectural documentation. Ensuring Data Quality and Reliability - Implement validation, monitoring, and alerting across the pipeline to ensure data integrity and early detection of failures. - Establish and enforce data governance practices, including handling of sensitive data in line with compliance requirements. - Design and maintain strategies for anonymizing production data and synthesizing test data to enable safe, realistic testing environments. Driving Technical Quality - Write clean, well-tested, and maintainable code; review peers' contributions and uphold engineering standards across the team. - Optimize pipeline performance for large-scale data processing, balancing throughput, latency, and cost. Collaborating within the ART - Work closely with product management and engineering teams to translate business requirements into data pipeline solutions. - Contribute to architectural discussions and technical decision-making within the Agile teams. - Mentor junior team members and help improve development workflows and practices. Requirements: - Degree in Computer Science, Data Engineering, or equivalent experience. - 5+ years' experience in data engineering, with a focus on streaming and batch data pipelines. - Strong proficiency in Python and/or Kotlin/Java. - Hands-on experience with streaming (e.g. Kafka) and NoSQL databases (e.g. MongoDB or DocumentDB). - Experience with AWS cloud services - including Lambda, GlueJobs, Eventbridge, S3 and CDK. - Solid understanding of data modeling for document-oriented databases. - Familiarity with CI/CD pipelines and DevOps practices in a cloud-native environment. - Experience working in Agile/SAFe environments is a plus. - Strong communicator, comfortable working with both technical and non-technical stakeholders. - Fluent English; Spanish and/or German proficiency is a plus. What we offer: - Fully remote work capability, with an option to work from our office when needed. - Access to professional development tools and free language courses. - Flexible working hours to accommodate personal and professional needs. - A competitive holiday package and access to a variety of employee discounts. Join us at Volkswagen Digital:Hub to advance your career in a role where your administrative skills will directly contribute to the success and smooth operation of our innovative projects. For more information on our data processing activities and your rights as a data subject, please consult our privacy policy. Ref: Level C

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Automates and manually loads all new and revised participating provider data transactions. Manages and resolves third-party contracted reimbursement issues into applicable systems. - Maintains and updates provider demographic and contract information in appropriate systems to support claims adjudication and provider directories. - Follows area protocols, standards, and policies to provide effective and timely support. - Coordinates with internal/external constituents to implement new networks and complex contractual arrangements. - Communicates directly with providers and/or outside vendors to clarify data quality issues. Manages audits of provider information to escalate issues for resolution as appropriate. - Manages audits of provider information to escalate issues for resolution as appropriate. - Takes direction to execute techniques, processes, and responsibilities. Required Qualifications 1-3 years of healthcare work experience 1-3 years of customer service experience Preferred Qualifications - Excel Experience Preferred - Proivder Data experience Education - High school diploma or equivalent required. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $18.50 - $35.29 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 04/29/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Design, build, and maintain scalable and reliable data pipelines using Python, PySpark, and SQL • Develop and optimize data transformations and ETL processes, ensuring data accuracy and relevance for our clients • Collaborate with Product Managers and Designers to understand data requirements and deliver effective solutions that meet client needs • Build scalable and discoverable data models in SQL and maintain detailed documentation for each • Implement data quality checks and monitoring to ensure data accuracy and integrity • Optimize data storage and retrieval for performance and cost efficiency • Contribute to cluster optimization and maintenance • Document data engineering processes and best practices

Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution. Job responsibilities - You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. - You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. - You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. - You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems. - You will collaborate with data scientists to design scalable implementations of their models. - You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. - You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available. - You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. - You will be responsible for data governance, data security and data privacy to support business and compliance requirements. - You will define the strategy for and incorporate data quality into your day-to-day work. Job qualifications Technical Skills - You have experience with databricks - Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. - You have a deep understanding of Gen/AI and LLMs - You have experience in writing clean, high-quality code using the preferred programming language. - You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. - You have experience with data visualization techniques and can communicate the insights as per the audience. - You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. - You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). - Advanced English is required Professional Skills - You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. - You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. - You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. - You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. - You enjoy influencing others and always advocate for technical excellence while being open to change when needed. - You are a proven leader with a track record of encouraging teammates in their professional development and relationships. - Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.