Senior Data Engineer – Enterprise Data Engineering & Cloud Platform Development

• --

About arenaflex

Welcome to arenaflex, a dynamic leader in the consumer goods and food & beverage industry renowned for innovation, quality, and operational excellence. At arenaflex, we believe that data is the cornerstone of modern business transformation. Our commitment to leveraging cutting-edge technology to drive strategic decision-making has positioned us at the forefront of the industry, and we are seeking a talented Senior Data Engineer to join our Information Engineering team.

As part of the arenaflex family, you will become an integral contributor to our mission of building world-class data products that power everything from revenue management and supply chain optimization to manufacturing efficiency and logistics planning. We pride ourselves on fostering a culture of collaboration, continuous learning, and innovation. If you are passionate about data engineering and want to make a meaningful impact within a globally recognized organization, arenaflex is the place for you.

Position Overview

We are looking for an experienced and motivated Senior Data Engineer to architect, build, and maintain our enterprise data infrastructure. In this critical role, you will serve as a key technical expert responsible for developing and managing arenaflex's data product factory and operations. You will drive the implementation of robust data engineering solutions that enable advanced analytics, machine learning, business intelligence, and product development initiatives across the entire organization.

You will be a contributing member of a high-performing data engineering team that integrates data pipelines from various source systems, establishes our data lake infrastructure, and ensures seamless accessibility for analysis, visualization, AI initiatives, and product innovation. This is a hybrid position that offers the flexibility to work both remotely and on-site, collaborating with cross-functional teams across the organization.

Key Responsibilities

• Code Development & Implementation: Actively contribute to code development for operational tasks and services, ensuring high-quality, maintainable, and scalable solutions.


• Data Pipeline Management: Manage and scale data pipelines from internal and external data sources to support new product launches and maintain data quality across all data products.


• Automation & Monitoring: Build and own automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.


• Best Practices Implementation: Lead the implementation of best practices around systems integration, security, performance, and data management.


• Business Enablement: Enable the business by creating value through increased adoption of data, data science, and business intelligence solutions.


• Collaboration: Work closely with internal clients, including data science and product teams, to drive solutioning and proof-of-concept discussions.


• Architecture & Innovation: Engage with enterprise architects and key internal and external partners to develop building capabilities and advance the data platform.


• Model Productionalization: Develop and optimize processes to productionalize data science models efficiently.


• SLA Management: Define and manage Service Level Agreements (SLAs) for data products and processes running in production.


• Experimentation Support: Support large-scale experimentation conducted by data scientists.


• Scalable Solutions: Model new approaches and build solutions at scale to meet enterprise demands.


• Research & Development: Conduct research in cutting-edge methods and technologies to stay ahead of industry trends.


• Documentation: Create comprehensive documentation for learnings and knowledge transfer.


• Reusable Assets: Create and review reusable packages or libraries to accelerate team productivity.

Essential Qualifications

• Bachelor's degree in Computer Science, Mathematics, Physics, or other technical fields.


• Minimum of 2+ years of experience in Data Lake Framework, Data Warehousing, and Data Analysis tools.


• Minimum of 2+ years of experience with SQL development and implementation tuning, along with proficiency in programming languages such as Python, PySpark, Scala, or similar.


• Minimum of 2+ years of experience in cloud data engineering with major cloud platforms (Azure, AWS, or Google Cloud).


• Familiarity with cloud platform services; certification is a plus.


• Experience with integration of multi-cloud services with on-premises technologies.


• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.


• Experience with data profiling and data quality tools such as Apache Griffin, Deequ, or Great Expectations.


• Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large datasets.


• Experience with at least one Massively Parallel Processing (MPP) database technology such as Amazon Redshift, Synapse, or Snowflake.


• Experience with running and scaling applications on cloud infrastructure and containerized services like Kubernetes.


• Experience with version control systems and CI/CD tools.


• Experience with cloud data factories, data analytics platforms, and AI tools.


• Experience with Statistical/ML techniques is a plus.


• Experience building solutions in the retail or supply chain space is a plus.


• Understanding of metadata management, data lineage, and data glossaries is a plus.


• Working knowledge of agile development, including DevOps and DataOps concepts.


• Familiarity with business intelligence tools such as PowerBI or similar platforms.

Skills, Competencies & Knowledge

Technical Skills

• Highly proficient in data engineering concepts and methodologies.


• Strong understanding of both the engineering and business sides of Data Products.


• Experience with and embrace of agile methodologies.


• Strong negotiation and problem-solving abilities.


• Experience managing and working with globally distributed teams.

Leadership & Interpersonal Skills

• Excellent communication skills, both verbal and written, with the ability to influence and demonstrate trust in communications with senior-level management.


• Demonstrated history of leading and mentoring data teams.


• Solid change manager – comfortable with change, especially that which arises through organizational growth.


• Ability to understand and translate business requirements into data and technical requirements.


• High level of organization and ability to manage multiple, competing projects and priorities simultaneously.


• Positive and flexible attitude to enable adapting to different needs in a constantly changing environment.


• Strong leadership, organizational, and interpersonal skills; open to managing trade-offs.


• Foster a team culture of accountability, communication, and self-management.


• Proactively drives impact and engagement while bringing others along.


• Consistently achieves/exceeds personal and team goals.


• Ability to lead others without direct authority in a matrixed environment.

Core Values

• Highly influential and able to educate challenging partners on the role of data and its purpose in the business.


• Places the customer at the center of decision-making.


• Collaborates and cooperates for speed, agility, and innovation.

Career Growth & Learning Opportunities

At arenaflex, we are committed to the professional development and career advancement of our employees. As a Senior Data Engineer, you will have access to extensive training programs, certification support, and mentorship opportunities. You will work alongside industry experts and thought leaders, gaining exposure to cutting-edge technologies and methodologies in data engineering, cloud architecture, and AI/ML.

This role offers significant career progression paths, including leadership positions within the data engineering organization, specialization in specific data domains, or transition into product management roles. You will be encouraged to explore new technologies, contribute to open-source projects, and present your findings at internal and external conferences. Our robust internal mobility program ensures that talented individuals like you can grow and evolve within the organization, taking on new challenges as you advance in your career.

Work Environment & Culture

arenaflex fosters a dynamic, inclusive, and collaborative work environment where diversity is celebrated, and innovation thrives. We believe in work-life balance and offer flexible working arrangements to support your well-being. Our hybrid work model allows you to leverage the benefits of both remote work and in-person collaboration, ensuring you can deliver your best work while maintaining flexibility.

You will join a team of passionate professionals who are dedicated to transforming data into actionable insights. Our culture emphasizes continuous learning, knowledge sharing, and mutual support. We encourage open dialogue, creative thinking, and bold ideas. At arenaflex, you will find a supportive ecosystem that empowers you to innovate, grow, and make a meaningful impact.

Compensation & Benefits

We offer a competitive compensation package that reflects your skills, experience, and contributions. In addition to a competitive hourly rate of $25 (which translates to an approximate annual salary of $52,000), arenaflex provides a comprehensive benefits suite that includes:

• Health, dental, and vision insurance


• Retirement savings plans with company matching


• Paid time off and holidays


• Professional development opportunities and tuition reimbursement


• Employee assistance programs


• Various wellness programs and resources

Our benefits are designed to support your physical, financial, and emotional well-being, ensuring you and your family can thrive.

Equal Employment Opportunity

arenaflex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We are committed to fostering an inclusive workplace where diverse perspectives and talents are valued and celebrated.

Join arenaflex Today!

If you are ready to take the next step in your career and make a significant impact within a globally recognized organization, we encourage you to apply for this exciting opportunity. At arenaflex, you will be part of a team that is transforming the way we use data to drive business success. Bring your expertise, passion, and creativity to arenaflex, and help us shape the future of data engineering.

We look forward to receiving your application and exploring how you can contribute to our continued success!