Remote Strategy & Data Engineer — Process Mining

Accenture Plc; Ciudad de Mendoza; Remoto; ARS 139.086.000 - 185.448.000; Tempo integral

Benefícios oferecidos por esta vaga

PedidosYa

Swiss Medical health insurance for you

Internet reimbursement

100% covered gym membership

Flexible vacations

Flexible working hours

Sponsored certifications

Day off on your birthday

Performance bonuses

Accenture Days

Flexible benefits package

Extended maternity/paternity leave

Childcare financial assistance

Resumo da vaga

Accenture is seeking a Data Engineer - Process Mining to design, build, and maintain data pipelines and models for process mining projects in a remote LATAM-friendly setup.

You will collaborate with business stakeholders to extract insights, drive process improvements, and contribute to dashboards and documentation across supply chain initiatives.

Qualificações

• 2+ years of experience with understanding of process mining.
• Hands-on experience identifying value opportunities using any Process Mining tool (Celonis/Signavio...).
• Certified expertise as functional value architect for process discovery and mining tools.
• Conceptual understanding of as-is processes in supply chain and ability to design to-be processes.
• Experience with automation solutions is a plus.
• Knowledge of data collection, cleansing, modelling, and process discovery/insights.
• Strong communication skills for diverse clients and teams.

Responsabilidades

• Be the design and implementation engineer who can build data pipelines and data models for process mining projects, including data collection, transformation, and loading.
• Create and maintain an ETL layer for process mining with best practices.
• Develop and maintain process data models to support analysis and visualization.
• Analyze and process data using process mining tools (Celonis, Signavio, Power Automate Process Mining).
• Collaborate with stakeholders to identify process improvement opportunities.
• Develop and implement process improvement solutions based on insights.
• Document and maintain process mining documentation.
• Aid in dashboard development of process mining using Celonis, Signavio, etc.
• Contribute to business development initiatives and demonstrate problem-solving.

Conhecimentos

Strong analytical skills

Solve complex problems

Excellent communication

Cross-cultural competence

Lead technical team

Ferramentas

Celonis

Signavio

Power Automate Process Mining

Descrição da vaga

Strategy & Consulting | Data Engineer - Process Mining

Hoy

In Accenture, within the Strategy & Consulting – Global Network area, we work with leading global clients to design and implement strategies that drive transformation and sustainable growth. As part of our team, you will collaborate on projects that combine innovation, deep analysis, and strategic execution, helping organizations tackle their most complex challenges. As a part of our Supply Chain & Engineering practice, you will help organizations reimagine and transform their supply chains for tomorrow—with a positive impact on the business, society and the planet. Together, let’s innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and be more resilient, with the following initiatives: As a Data Engineer - Process Mining, you will play a crucial role in designing, developing, and maintaining data pipelines, data models for process mining projects. You will work closely with business stakeholders, analysts, and technologists to collect, transform, and analyze process data to uncover insights and drive process improvement initiatives. Key Responsibilities:

• Be the Design and implementation engineer who can build data pipelines and data models for process mining projects, including data collection, data transformation, and data loading.
• Creating and maintaining an ETL layer for process mining with best practices
• Develop and maintain process data models to support process analysis and visualization.
• Analyse and process data using process mining tools such as Celonis, Signavio, and Power automate Process Mining.
• Collaborate with business stakeholders to identify process improvement opportunities.
• Develop and implement process improvement solutions based on process mining insights.
• Document and maintain process mining documentation.
• Aid and assist in dashboard development of process mining using tools like Celonis, Signavio etc.
• Contribute to business development initiatives and display ability to solve complex business problems.

In Accenture, within the Strategy & Consulting – Global Network area, we work with leading global clients to design and implement strategies that drive transformation and sustainable growth. As part of our team, you will collaborate on projects that combine innovation, deep analysis, and strategic execution, helping organizations tackle their most complex challenges. As a part of our Supply Chain & Engineering practice, you will help organizations reimagine and transform their supply chains for tomorrow—with a positive impact on the business, society and the planet. Together, let’s innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and be more resilient, with the following initiatives: As a Data Engineer - Process Mining, you will play a crucial role in designing, developing, and maintaining data pipelines, data models for process mining projects. You will work closely with business stakeholders, analysts, and technologists to collect, transform, and analyze process data to uncover insights and drive process improvement initiatives. Key Responsibilities:

• Be the Design and implementation engineer who can build data pipelines and data models for process mining projects, including data collection, data transformation, and data loading.
• Creating and maintaining an ETL layer for process mining with best practices
• Develop and maintain process data models to support process analysis and visualization.
• Analyse and process data using process mining tools such as Celonis, Signavio, and Power automate Process Mining.
• Collaborate with business stakeholders to identify process improvement opportunities.
• Develop and implement process improvement solutions based on process mining insights.
• Document and maintain process mining documentation.
• Aid and assist in dashboard development of process mining using tools like Celonis, Signavio etc.
• Contribute to business development initiatives and display ability to solve complex business problems.

Bring your best skills forward to excel in the role:

• Strong analytical skills to reach clear-cut, methodical solutions.
• Ability to solve complex business/technical problems and deliver client delight.
• Excellent communication, interpersonal and presentation skills
• Cross-cultural competence with an ability to thrive in a dynamic environment.
• Ability to lead technical team in all type of conditions.

A unique workplace — discover the benefits we have for you:

• PedidosYa
• Swiss Medical health insurance for you and your immediate family
• Internet reimbursement
• 100% covered gym membership
• Flexible vacations
• Flexible working hours
• Sponsored certifications
• Day off on your birthday
• Performance bonuses
• Accenture Days
• Flexible benefits package
• Extended maternity and paternity leave
• Childcare financial assistance

…and many more ! We have offices available in CABA, Córdoba, Mar del Plata, Rosario, Salta, and Mendoza! And if you’re located in other provinces, our positions are remote, so you can work from home! Your experience counts!

• 2+ years of experience with understanding of process mining
• Hands-on experience of identifying value opportunities using any Process Mining tool, such as Celonis/Signavio and so on
• Certified expertise as functional value architect for process discovery and mining tools like Celonis, Signavio, Power automate process mining
• Conceptual understanding of as-is processes in supply chain and ability to design to-be process
• Good understanding/experience of process mining in SAP transformations or if you have supported mining/process design/journey definition initiatives in SAP projects
• Experience with automation solutions will be a plus
• Knowledge of data collection approach, data cleansing, data modelling, process discovery, process analysis and insights
• Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels

What’s in it for you?

• An opportunity to work on transformative projects with key G2000 clients
• Potential to co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
• Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.
• Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities
• Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

AT ACCENTURE, EQUALITY DRIVES INNOVATION Did you know that Accenture was chosen as the most diverse and inclusive company in the world? We believe that the workforce of the future is an equal workforce for everyone. All decisions related to the recruitment and selection process will be made without any distinction, exclusion, or preference based on race, color, gender, sexual orientation, disability, age, religion, political or union opinion, nationality, socioeconomic background, or any other characteristic protected under applicable law, that could result in the nullification or impairment of equal opportunity or treatment among candidates. #LI-LATAM About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at ( Declaración de igualdad de oportunidades en el empleo Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos permite servir mejor a nuestros clientes y comunidades.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

The mandatory requirements are solid dbt experience (modeling, tests, macros, and incremental models), ingestion and orchestration tools such as Airbyte or Prefect, 3+ years in data or analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, Snowflake or a similar cloud warehouse, and an upper-intermediate English level.

WHAT YOU WILL DO

- Build and maintain the dbt pipelines, data marts, and warehouse models that serve in-app reporting, spend analytics, AI features, and internal analytics, treating them as production systems.

- Translate complicated procurement business logic into maintainable, well-tested pipeline code, and notice when a model is valid-looking but wrong.

- Build models within our data mart architecture, following the chapter's conventions for grain, conformed dimensions, and incremental patterns, and propose improvements when you find them.

- Contribute to and help buildout the semantic layer that our internal MCP servers and AI agents query, so that metrics and dimensions are defined once and answered consistently.

- Maintain the boundary between PII and agent/reporting-safe data.

- Build and maintain the FastAPI services that expose reporting marts to customers.

- Build and maintain ingestion pipelines (Airbyte, OneSchema, S3) into the warehouse, and support our Forward Deployed Engineering function in bringing customer data into our systems.

- Implement data quality checks: freshness, schema and reconciliation tests, and alerting, so problems surface before customers find them.

- Implement metric definitions faithfully, and flag conflicting or ambiguous definitions to the chapter rather than guessing.

- Keep documentation and lineage current so that humans and AI agents can both find and trust what's in the warehouse.

- Tune Snowflake performance and cost within the models you build.

- Use agentic coding tools in your daily work, within the guardrails (tests, conventions, review patterns) the team maintains, and understand why those guardrails exist.

- Share what you learn through code review and team discussion.

- Communicate clearly with engineering, product, and customer-facing teams about what the data means and what it can and can't do.

MUST HAVES

- 3+ years in analytics engineering, data engineering, or a closely related role, including hands-on work on production data pipelines that other systems or customers depended on.

- Solid dbt experience: modeling, tests, macros, and incremental models.

- Strong SQL and working Python.

- Data modeling fundamentals: dimensional modeling, data marts, grain and conformance.

- Experience with a modern cloud warehouse (Snowflake preferred).

- Experience with ingestion tooling and orchestration (Airbyte, Prefect, or equivalents).

- Familiarity with agentic coding tools and an understanding of why guardrails around their output matter.

- Deep curiosity about the business: you want to understand what the data means and how customers use it, not just how it flows.

- Software engineering discipline for analytics code: Git, code review, CI/CD.

- Can take a multi-sprint piece of work from spec to production with normal oversight, and can explain tradeoffs to technical and non-technical stakeholders.

- Upper-intermediate English level.

NICE TO HAVES

- Experience building or maintaining API services on top of warehouse data (FastAPI or similar).

- Experience with a semantic layer or governed metric definitions that multiple consumers rely on, including for LLM-driven or agent-driven querying.

- Experience exposing warehouse data to customers through embedded analytics or customer-facing APIs.

- Experience with data observability tooling.

- Experience supporting customer data onboarding or implementation teams.

- Experience deploying data pipelines across multiple regions and managing PII or sensitive data.

- Knowledge of procurement and/or supply chain data models.

- Prior experience in enterprise software and startups.

PERKS AND BENEFITS

- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.

- Exciting projects : Modern solutions with Fortune 500 and top product companies.

- Flextime : Flexible schedule with remote and office options.

6

BigQuery

• Welcome kit.
• Healthy Break.