Data Engineering Manager

METRO AEBE is recognized as one of Greece's leading employers, proudly supporting over 11,000 employees. Operating under the renowned My Market brand, we manage one of the largest retail networks in the country, featuring 290 stores nationwide. Additionally, we dominate the wholesale market with 50 METRO Cash & Carry stores catering to professionals across Greece.To fuel our ongoing expansion, we are looking for a skilled Data Engineer to join our Data Warehouse (DWH) team. In this role, you will play a pivotal part in designing, enhancing, and optimizing enterprise data products that empower data-driven decision-making.Responsibilities:Design and develop robust, automated data pipelines (ETL/ELT) to efficiently ingest data from diverse sources into our Data Warehouse or Data Lake.Conduct data wrangling tasks, including data cleaning and transformation, to convert raw data into actionable formats for analysis, visualization, or machine learning applications.Ensure data quality and monitor pipeline performance to uphold data integrity and reliability.Implement data access controls in alignment with corporate regulations and policies.Contribute to machine learning and AI initiatives by preparing, validating, and serving high-quality datasets for model training and evaluation.Work collaboratively with Data and BI Analysts, providing technical support as required.

Role Overview finartix is looking for an ETL/SSIS Data Engineer to join the team in Athens, Attica, Greece. This role focuses on building and maintaining data solutions for clients in the Greek market. The position works closely with IT professionals to improve data ecosystems and streamline data delivery for a range of sectors. What You Will Do Develop, test, and maintain data solutions throughout the full software development lifecycle. Apply effective methods for collecting and analyzing data to support strategic recommendations that fit client business goals. Act as a technical advisor, offering insights and solutions to clients. Work as part of an Agile team, contributing to collaboration and new ideas. Qualifications BS or MS in Computer Science, Engineering, or a related field. Minimum 3 years of experience in software development using MS SQL Server and ETL tools, especially SSIS. At least 2 years working on data migration projects. 2 years of experience in the Banking Industry. Solid understanding of software application fundamentals and how they affect user experience. Strong skills in testing and quality assurance. Proficient programming abilities and a creative, problem-solving approach. Good communication and time management skills. Comfortable working both independently and as part of a team. Demonstrated analytical thinking and a solution-oriented mindset. Proficiency with Microsoft Office Suite. Fluent in both English and Greek, written and spoken.

About EveryPayEveryPay is dedicated to revolutionizing the digital financial landscape of e-commerce in Greece. Our mission is to empower Marketplaces and Merchants, enabling them to succeed in a competitive environment.We are a vibrant team of young professionals, united by our core values of Empowering Customers, Collaborating as a Team, Managing Risks, and Delivering Results.We take pride in having created the payment infrastructure that connects numerous Greek Marketplaces and Merchants with global payment schemes such as Visa and MasterCard. Our services extend to Greece's largest and most successful marketplace, Skroutz.Our systems interface with thousands of banks, both domestically and internationally. Our technology handles tens of thousands of transactions daily, amounting to billions of euros in e-commerce. If you have made an online purchase in Greece, you have likely interacted with our payment solutions.EveryPay is a wholly-owned subsidiary of the Skroutz Group of Companies, functioning as both a Technology Firm and a Regulated Financial Services Institution. This unique position offers you exposure to both the Tech Payments Sector and the realm of Financial Services.Your Role in EveryPay's Vision:We are looking to expand our Data Platform team by hiring a skilled Data Platform Engineer. In this role, you will design, build, and maintain the core data platform that drives analytics and business intelligence at EveryPay. You will be instrumental in developing robust data ingestion pipelines, establishing scalable data infrastructure, and enabling our BI team to extract actionable insights from data. Your contributions will ensure that high-quality, reliable data is readily accessible to all stakeholders within the organization.Key Challenges You Will Tackle:Data Ingestion at Scale: Design and implement scalable, reliable data ingestion pipelines that handle data from diverse internal and external sources.Platform Enablement: Construct, operate, and optimize our data platform to empower BI and analytics teams to easily explore, analyze, and visualize data.Data Quality & Governance: Establish and uphold best practices for data quality, lineage, and governance to ensure data trustworthiness and compliance.Your Responsibilities:Architect, build, and maintain ETL/ELT pipelines for ingesting data from various systems (e.g., payment systems, marketplaces, SaaS tools).Establish and manage data platform infrastructure (cloud data warehouses, databases, orchestration tools, etc.).Collaborate closely with the BI team to understand data requirements and deliver efficient, reliable data models and datasets.Monitor pipeline performance and data quality, proactively troubleshooting and resolving any issues.

About the Role netcompany1 is looking for a Junior to Mid-level Data Engineer in Athens. This role focuses on building and improving data pipelines that support business decisions. The work involves designing, implementing, and optimizing data flows to keep information accurate and reliable. Main Responsibilities Design and build data pipelines for business and analytics needs Optimize existing data processes for efficiency and quality Work with data scientists, analysts, and engineers to improve data architecture Help ensure data integrity across projects Collaboration This position works closely with cross-functional teams, including data scientists and analysts, to support analytical projects and improve how data is used throughout the company. Who We're Looking For Interest in data engineering and analytics Willingness to learn new technologies and approaches Strong teamwork and communication skills

Optasia is a cutting-edge B2B2X financial technology platform specializing in scoring, financial decision-making, disbursement, and collections. Our mission is to promote financial inclusion for everyone, and we pride ourselves on transforming the world in our own unique way.We are on the lookout for passionate and proactive professionals who are driven by results and possess a can-do attitude. Join a team of like-minded individuals dedicated to delivering innovative solutions in an exciting environment.We invite you to apply for the position of Data Engineer within our expanding Data Engineering team. In this role, you will design and implement highly scalable end-to-end batch and streaming data pipelines, contributing to the overall success of Optasia.Your responsibilities will include:Enhancing the scalability, stability, accuracy, speed, and efficiency of our existing data systems.Designing and developing end-to-end data processing pipelines.Navigating a diverse technology stack, including Scala, Spark, Python3, Bash/Python scripting, Hadoop, and SQL.Designing, constructing, testing, and deploying new libraries, frameworks, or complete systems while adhering to the highest standards of testing and code quality.Developing, maintaining, and optimizing core libraries for batch processing and large volume data ingestion into our big data infrastructure.Building and maintaining CI/CD orchestration.What we expect from you:Bachelor's or Master's degree in Computer Science or Informatics.A minimum of 2 years experience in Data Engineering.Proven experience in software/data engineering and/or operations/DevOps/DataOps.Familiarity with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark).Hands-on experience with both relational and NoSQL databases.Proficient in systems administration with Linux.Experience in deploying, configuring, and maintaining distributed systems and data/software engineering tools.Your key attributes:Experience with fluid virtual infrastructures such as containers (e.g., Docker, Kubernetes).Familiarity with data and ML flow engines and tools, such as Apache Airflow.A strong passion for learning new technologies and collaborating with other creative professionals.Why you should join us:We offer a range of benefits including: Flexible hybrid working options Competitive remuneration package An extra day off on your birthday Performance-based bonus scheme‍ Comprehensive private healthcare insurance All the tech gear you need to work efficientlyExperience the Optasia perks: Join our multicultural working environment Engage with a unique and promising business and industry Gain insights into the future market landscape Enjoy a solid career path within our working family.

Join a pioneering leader in education technology, recognized globally for excellence in the assessment and certification of professional skills across more than 200 countries. PeopleCert is actively seeking a talented Data Engineer to enhance our dynamic Data & AI team. This position is crucial in architecting, developing, and sustaining the infrastructure and data solutions that empower our AI-driven projects. The ideal candidate will possess substantial practical experience with Microsoft Azure technologies and demonstrate a strong passion for data engineering practices that facilitate machine learning, advanced analytics, and large-scale data processing.In this role, you will collaborate closely with the AI Center of Excellence, working alongside data scientists, ML engineers, software developers, analysts, and business stakeholders to enable data accessibility and drive intelligent applications.Your responsibilities will include:Designing, implementing, and maintaining scalable data pipelines and workflows to facilitate AI/ML model training, evaluation, and inference.Building and optimizing data integration solutions utilizing Azure data tools such as Synapse Analytics, Azure Data Factory, Databricks, and Delta Lake.Partnering with data scientists and AI engineers to ensure data is available in the correct format and quality for modeling purposes.Developing and maintaining APIs and data services that power AI-driven applications and insights delivery.Supporting the development of data lakes and lakehouses tailored for advanced analytics and AI use cases.Writing efficient, reusable Python and SQL code for data processing, cleaning, and transformation.Participating in code reviews and knowledge-sharing sessions within the team to cultivate best practices and continuous learning.Keeping abreast of emerging tools, cloud services, and trends in data engineering and AI infrastructure.

Join Kpler as a Business Intelligence Data Engineer where you will play a crucial role in transforming data into actionable insights. You will work with various data sources and be part of a dynamic team focused on enhancing our data platforms. You will have the opportunity to leverage your analytical skills to drive strategic decision-making and contribute to our innovative solutions.

Elevate your career with us! Join our dynamic development teams in Athens or work remotely as a Data Engineer. In this vital role within our agile team, you will help design and implement cutting-edge big data solutions on a scalable cloud platform. You will analyze millions of real-time data points to extract advanced insights and enhance analytics capabilities for our end users.Your Responsibilities: Develop and implement batch processing pipelines utilizing Spark (Python or Scala) and SQL; Design and execute streaming ETL/ELT processes from a variety of data sources; Write and maintain code for developing comprehensive big data solutions, focusing on data integration and analytics use cases; Create and implement APIs using contemporary Python frameworks; Collaborate effectively with our Business Analysis teams to align technical solutions with business needs; Conduct end-to-end and functional testing using open-source tools; Set up monitoring solutions for our data platform, including alerts and dashboards. Essential Qualifications: Bachelor’s degree in Computer Science or Software Engineering; Extensive knowledge of Apache Spark; Proficient in Python and database management; Previous experience as a Data Engineer; Familiarity with Azure Data Lake Storage and Delta Live Tables; Fluency in English, both written and spoken; Strong analytical skills and a team-oriented mindset; A passion for learning and professional growth in data engineering. Preferred Qualifications: Experience with Databricks; Proficiency in API development with FastAPI; Familiarity with cloud platforms (AWS, Azure, GCP, etc.); Experience with Docker. Why Join Us?We value talent and commitment, offering a range of benefits for our team members, including:Competitive full-time salary;Comprehensive private health coverage under the company’s group program;Flexible working hours;Access to state-of-the-art tools;Opportunities for professional development including language courses and specialized training;Career advancement opportunities with industry-leading specialists;A dynamic work environment that encourages personal and professional growth through challenging goals and mentorship.If you're ready to embrace an exciting challenge, work with cutting-edge technologies, and enjoy your daily tasks, we invite you to apply! Please submit your detailed CV in English, referencing: (SDE/02/26).Explore all our open vacancies by visiting the career section of our website.

Are you enthusiastic about big data and eager to engage with advanced technologies? We invite you to explore a thrilling opportunity as a Data Engineer - Spark Developer with our dynamic and growing development teams. Whether you prefer the vibrant atmosphere of our Athens office or the flexibility of remote work, we are excited to welcome your expertise and passion.Key Responsibilities: Architect, develop, test, deploy, maintain, and enhance data pipelines; Implement coding solutions using Apache Spark on Azure Databricks; Create and design big data architectures leveraging Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services. Essential Qualifications: Bachelor's degree in Computer Science or Software Engineering; Strong analytical mindset, team-oriented, dedicated to quality, and eager to learn; Comprehensive understanding of Apache Spark; Proven experience as a Data Engineer; Advanced proficiency in Python or Scala; Expertise in Spark query tuning and performance enhancement; Familiarity with cloud platforms such as Azure, AWS, or GCP; Fluent in both spoken and written English. Preferred Qualifications: Ability to understand and analyze Directed Acyclic Graph (DAG) operations; Experience in providing cost estimates for big data processing; Capability to write and review architecture documentation. Benefits:We value talent and commitment and offer a range of benefits to our team members:Competitive full-time salary;Comprehensive private health coverage under the company’s group program;Flexible working hours;Access to state-of-the-art tools;Opportunities for professional development including language courses, specialized training, and continuous learning;Career advancement opportunities with leading specialists in the industry;A dynamic work environment that promotes challenging goals, autonomy, and mentorship, supporting both personal and company growth.If you are looking for an exciting challenge, keen to work with innovative technologies, and enjoy your work, we would love to hear from you! Please submit your detailed CV in English, referencing: (DESD/02/26).Explore our other open positions by visiting our career section at www.eurodyn.com and follow us on Twitter (@EURODYN_Careers) and LinkedIn.European Dynamics (www.eurodyn.com) is a prominent European company specializing in Software, Information, and Communication Technologies, with a robust international presence.

Location: Athens or Ioannina, Sterea Ellada, Greece About Snappi Bank Snappi Bank is building a neobank from the ground up. The team focuses on financial freedom by delivering transparent, technology-driven digital banking services. The company aims to reshape how people interact with their finances. Role Overview The Data Engineer will design, build, and manage data architecture and pipelines that support data acquisition, storage, processing, and analysis across the organization. This position is open in both the Athens and Ioannina offices. Main Responsibilities Create and maintain data pipelines and infrastructure for efficient ingestion, processing, and storage of large datasets. Work with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions. Develop and optimize data models and schemas for effective storage and retrieval. Build and manage ETL processes to bring data from various sources into data warehouses or lakes. Monitor and troubleshoot pipelines to ensure data integrity, reliability, and performance. Evaluate and introduce new tools or technologies to improve data processing and operational efficiency. Document pipelines, processes, and solutions to support knowledge sharing and maintainability. Partner with infrastructure and DevOps teams to deploy and manage data systems in cloud environments. Keep up with trends and best practices in data engineering and analytics. Qualifications Bachelor’s degree in Computer Science, Electronics, or equivalent experience in data roles. Minimum 5 years of experience in a similar position (7+ years preferred; 3-5 years considered for junior roles). Strong skills in SQL and Python; experience with Azure Data Factory is a plus. Excellent interpersonal skills, including listening, negotiation, and presentation. Clear verbal and written communication abilities. Attention to detail. Effective decision-making, problem analysis, and resolution skills. Strong organizational habits. Proactive approach to problem-solving. Comfort working in a fast-changing environment. Interest in agile software processes, data-driven development, reliability, and experimentation; experience with Agile product teams is a plus. Why Work at Snappi? Snappi Bank values innovation, trust, and ongoing growth. The team focuses on solutions and results. This is a chance to make a real impact on the future of banking and improve financial services for a broad audience.

Join our innovative team as a Semantic Data Engineer, where you'll play a crucial role in enhancing a sophisticated platform centered around RDF data models, SPARQL queries, and structured datasets. Your primary responsibilities will involve comprehending, maintaining, and advancing the semantic layer of our system, collaborating closely with backend engineers and architects. This position is ideal for a passionate specialist with a keen interest in data modeling, semantics, and knowledge representation within real-world production environments.Key Responsibilities:Analyze and uphold RDF/TTL data models and vocabularies;Design, optimize, and manage SPARQL queries;Facilitate data ingestion, transformation, and validation processes;Ensure the consistency and accuracy of semantic data throughout the platform;Work alongside backend engineers to integrate semantic logic into application workflows;Assist in documenting semantic models, assumptions, and constraints;Engage in troubleshooting data quality and reasoning challenges.

We are seeking a talented Site Reliability Data Engineer to join our dynamic team in Athens. As a Site Reliability Data Engineer, you will be at the forefront of ensuring the reliability and performance of our data systems. Your expertise will play a critical role in maintaining service uptime, optimizing system performance, and enhancing our data infrastructure.Your responsibilities will include monitoring system performance, troubleshooting issues, and implementing automation tools to streamline processes. You will collaborate with cross-functional teams to design and deploy scalable infrastructure solutions.

Join Kpler as a Data Engineer specializing in Dry Bulk Commodities. In this pivotal role, you will design, implement, and optimize data pipelines to support our dynamic analytics platform. Collaborate with cross-functional teams to enhance data accessibility and ensure high data quality, driving insights that empower our clients in the commodities market.

METRO AEBE operates a large network of retail stores in Greece and Cyprus, including My Market, My Market Local, METRO Cash & Carry, and BEST VALUE. With more than 11,000 employees, the company has been recognized as a Top Employer for both 2025 and 2026. As the company continues to expand, it remains committed to business growth alongside sustainable practices. The Data Warehouse (DWH) team in Athens is adding a Data Engineer to support these efforts. Role overview This Data Engineer position focuses on designing, improving, and optimizing enterprise data products. The work directly supports data-driven decision-making throughout METRO AEBE.

Optasia is a dynamic B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. Our mission is to foster financial inclusion globally, as we are transforming the financial landscape.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our innovative team of like-minded individuals dedicated to delivering cutting-edge solutions in an exciting environment. At Optasia, data is central to our growth strategy, and our Data Engineering team plays a vital role in our success through data-driven insights and decision-making.As an ML & Data Ops Engineer at Optasia, you will be pivotal in ensuring the availability and performance of our workflows. You will monitor and optimize our existing data system infrastructure, prioritize issue resolution, and promote a culture of continuous improvement. Your contributions will be essential in maintaining high service standards and reinforcing our commitment to client success.Key Responsibilities:Oversee daily monitoring of ML workflows, service alerts, and all data system infrastructure, including storage, applications, databases, and resources.Act as an escalation point for critical ML and data incidents, diagnosing issues and resolving or escalating as needed.Champion continuous integration, continuous delivery, and automation practices to facilitate seamless software transitions from development to production.Manage customer inquiries efficiently to ensure prompt responses and resolutions within defined SLAs.Encourage a culture of continuous improvement by identifying enhancements in processes, tools, and technologies.Conduct health and quality checks of ML and data workflows to ensure operational excellence.Collaborate with cross-functional teams including ML/Data Engineering, Algorithmic Trading, and System & Network Administration to resolve internal and client-related issues effectively.Develop training materials and deliver sessions, maintaining comprehensive technical documentation.

Join Optasia, a pioneering B2B2X financial technology platform that is revolutionizing financial inclusion through advanced scoring, decision-making, disbursement, and collection solutions. We are dedicated to changing the world of finance for the better.At Optasia, we thrive on innovation, and we are looking for passionate individuals who are results-oriented and eager to collaborate in a dynamic team environment. Data is the backbone of our growth strategy, and the Data Engineering team plays a crucial role in driving data-driven automated decision-making processes.We invite you to become a part of our expanding Data Engineering team as a Junior Data Engineer. In this role, you will have the opportunity to design and implement robust batch and streaming data pipelines, significantly contributing to our mission.Your ResponsibilitiesCollaborate with Data Architects, Machine Learning Engineers, and Data Analysts to design, deliver, and support the company's ETL and ML pipelines.Develop and maintain essential libraries for batch processing and large-scale data ingestion.Create and implement new processes to facilitate real-time data streaming from various sources.Enhance the efficiency and accuracy of data injection into our big data infrastructure.Explore and apply innovative data engineering patterns and technologies.Your QualificationsBachelor's or Master's degree in Computer Science, Informatics, or a related field.Understanding of data modeling, mining, and warehousing methodologies.Proficiency in at least one programming language, preferably Java, Scala, or Python.Solid SQL skills.Strong analytical abilities with meticulous attention to detail.A genuine enthusiasm for learning new technologies and working collaboratively with creative professionals.Preferred QualificationsPractical experience with Big Data technologies (e.g., Apache Spark, YARN, HDFS, MapReduce).Experience with NoSQL databases.Familiarity with mathematical modeling, algorithm development, and machine learning.Why Optasia?What we offer: Flexible hybrid working environment Competitive salary package Additional day off on your birthday Performance-based bonuses‍ Comprehensive private health insurance All necessary tech gear to work efficientlyJoin our multicultural team at Optasia and be part of a unique and rewarding workplace!

Join Our TeamAt Orfium, we are at the forefront of transforming music rights and royalties through innovative technology and data solutions. As a Senior Data Engineer on our CORE team (Centralized Orfium Revenue Engine), you will play a pivotal role in establishing the data foundations for our essential billing and reporting systems. Your expertise will ensure accuracy, scalability, reliability, and cost efficiency, which are crucial for timely invoicing, revenue recognition, and maintaining healthy cash flow for our global clientele.Your responsibilities will include designing, building, and optimizing modern data workflows leveraging technologies such as Airflow, dbt, Snowflake, and AWS. You will enhance data quality, observability, performance, and cost-effectiveness. Working in an Agile Scrum environment, you will collaborate with cross-functional teams including engineering, product, BI, and service delivery to enhance our platform and develop new capabilities that empower creators to receive payment whenever their music is played. As a senior engineer, you will lead by example, mentor team members, influence architectural decisions, engage in design reviews, and promote continuous improvement across our data pipelines and platform reliability.If you are seeking a position where your insights are valued, your ideas can thrive, and your efforts contribute to significant industry advancements while addressing real-world data challenges in a collaborative setting, this opportunity at Orfium is designed for you.

Optasia is a cutting-edge B2B2X financial technology platform focused on providing innovative solutions in scoring, financial decisioning, disbursement, and collection. We are dedicated to fostering financial inclusion for everyone and transforming the financial landscape.We are on the lookout for passionate and energetic professionals who are results-oriented and possess a can-do attitude. Join our vibrant team of like-minded individuals who are committed to delivering exceptional solutions in a dynamic and innovative environment.Data is the backbone of Optasia’s growth strategy, and our Data Engineering team plays a pivotal role in our success through data-driven decision-making and risk management. We ingest and process data from diverse sources into our expansive data lakehouses, utilizing state-of-the-art open-source big data technology stacks to create robust analytical pipelines.We are searching for a seasoned Senior Data Engineer – Team Leader to guide and motivate a team of two to three Data Engineers. In this role, you will blend hands-on expertise in constructing data infrastructure and pipelines with leadership responsibilities, empowering your team to produce high-quality, scalable, and dependable data solutions that advance Optasia’s objectives.Your ResponsibilitiesLead, mentor, and nurture a team of Data Engineers, promoting collaboration, technical excellence, and professional development.Provide technical guidance and expertise in data engineering, steering the team toward delivering high-quality, scalable data analytical pipelines.Assist in selecting, testing, and deploying data engineering tools, technologies, and methodologies.Design, construct, and enhance end-to-end batch and streaming data analytical pipelines.Develop, maintain, and evolve the organization’s big data infrastructure and core libraries for large-scale data ingestion and processing.Collaborate closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of comprehensive data workflows.Promote best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and adherence to data protection regulations (e.g., GDPR).Oversee code reviews, align coding standards, and manage the configuration of the big data infrastructure.

Location: Athens, Greece Company: d-one About d-one d-one is a consultancy focused on data, artificial intelligence, and transformation strategies. The firm helps organizations turn their ambitions into tangible results by aligning strategy, building strong data foundations, delivering large-scale solutions, and fostering trust through effective governance and a people-first approach. With offices in Zurich, Munich, and Athens, d-one supports clients across Europe and covers the entire data value chain using a pragmatic, people-centered methodology. Role Overview: Data & AI Engineer Based in the Athens consulting hub, the Data & AI Engineer works closely with project teams to advise clients through the conception, planning, and implementation of data and AI solutions. The role involves hands-on collaboration and occasional travel to Switzerland or other international locations for client work and team meetings at the Zurich headquarters. Key Responsibilities Analyze client requirements and design tailored data solutions. Contribute to projects in areas such as cloud engineering, infrastructure, data engineering (ETL), data science, and generative AI applications. Communicate findings and insights to stakeholders and management. Travel occasionally for client engagement and collaboration with the Zurich team. What We Look For University degree in Computer Science or a related field. Proficiency in technologies and programming languages such as SQL, Python, and Spark. Experience working with large datasets, streaming data, and databases. Background in cloud development and architecture, especially with Azure, AWS, or GCP. Hands-on experience with Databricks, Microsoft Fabric, or Palantir Foundry. Pragmatic, down-to-earth, and focused on results. Excellent communication skills in English. What d-one Offers A calm, focused work environment that values what matters most. An international team of talented, ambitious colleagues who enjoy both challenges and camaraderie. Opportunities for growth through the D ONE Academy, including mentoring, knowledge-sharing, expert groups, and tailored soft-skill and leadership training. Regular offsite social events. What Helps You Succeed Here Commitment to fully understanding client needs. Ability to deliver clear, high-value results. Intellectual agility and a client-friendly approach to problem-solving. Appreciation for creative, collaborative teamwork.