Senior Data Engineer, Workato

Salary not provided
SQL
AWS
GCP
Python
Airflow
Azure
Snowflake
dbt
Senior and Expert level
Barcelona
Workato

Integration & workflow automation platform

Be an early applicant

Workato

Integration & workflow automation platform

501-1000 employees

B2BInternal toolsProductivityMachine LearningAutomationNo-Code

Be an early applicant

Salary not provided
SQL
AWS
GCP
Python
Airflow
Azure
Snowflake
dbt
Senior and Expert level
Barcelona

501-1000 employees

B2BInternal toolsProductivityMachine LearningAutomationNo-Code

Company mission

To help businesses streamline their operations by providing a platform to automate their work and integrate their stacks, all in one place.

Role

Who you are

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering, with a proven track record of designing and managing large-scale data infrastructures
  • Proficiency in dbt for data transformation and modeling
  • Experience with Automate DV for data validation and workflow automation
  • Hands-on expertise with Trino for distributed SQL query engines
  • Deep understanding of Snowflake architecture and its ecosystem
  • Knowledge of Apache Iceberg for managing large analytic datasets
  • Strong background in orchestrating workflows using Apache Airflow
  • Proficiency in SQL and at least one programming language (Python preferred)
  • Ability to analyze complex data challenges and design innovative, data-driven solutions
  • Strong debugging skills and attention to detail
  • Excellent communication and collaboration skills
  • Demonstrated leadership and mentoring capabilities
  • Ability to thrive in a fast-paced, dynamic environment

Desirable

  • Familiarity with cloud data platforms (AWS, GCP, or Azure) and containerization technologies
  • Experience in agile development methodologies
  • Proven track record of working in automation-centric environments

What the job involves

  • We’re seeking a highly skilled Senior Data Engineer to lead the design, development, and optimization of our modern data infrastructure
  • In this role, you will work extensively with advanced tools such as dbt, Automate DV, Trino, Snowflake, Apache Iceberg, and Apache Airflow to build robust, scalable, and efficient data pipelines that empower our decision-making and analytics capabilities
  • You will work closely with data scientists, providing data vault for them, integrating models to the data vault, integrating different sources of the data to single data warehouse:
  • Product usage data
  • ETL data from AI services
  • Business data
  • External data
  • In this role, you will also be responsible to:
  • Data Pipeline Development:
  • Design, develop, and maintain data pipelines and ETL processes using dbt and Apache Airflow to ensure seamless data integration, transformation, and validation across diverse data sources
  • Data Infrastructure Management:
  • Architect and implement scalable data solutions utilizing Snowflake as a data warehouse and leverage Trino for efficient query execution across distributed data sets
  • Modern Data Technologies:
  • Integrate and optimize data workflows using Automate DV and Apache Iceberg to manage data versioning, quality, and lifecycle, ensuring reliability and compliance
  • Collaboration & Leadership:
  • Work closely with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. Mentor junior engineers and lead code reviews to promote best practices in data engineering
  • Performance & Optimization:
  • Continuously monitor, troubleshoot, and optimize data processes to ensure high performance, minimal downtime, and optimal resource utilization
  • Innovation & Best Practices:
  • Stay abreast of emerging trends in data engineering and automation, driving innovation and adopting new tools and techniques that enhance data processing and integration capabilities

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Insights

Top investors

-7% employee growth in 12 months

Company

Company benefits

  • Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
  • Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
  • Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
  • Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.
  • Recreation Time: From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.

Funding (last 2 of 5 rounds)

Nov 2021

$200m

SERIES E

Jan 2021

$110m

SERIES D

Total funding: $415m

Our take

Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.

Workato has built a single platform that integrates apps, processes, data, and user experiences to improve efficiency, communication, and business flexibility. There are many integration platforms available, such as SnapLogic and Mulesoft Anypoint Platform, however, Workato has aimed its platform at users who have minimal technical experience, rather than the IT team.

Workato has continued to expand its partnerships and workforce, and is well set to see further growth as it innovates its product offerings and capabilities. The company was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Integration Platform as a Service, making five years it has participated and five years it has been recognized.

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Steph

Company Specialist at Welcome to the Jungle