Data Engineer confirmé

About the role

You own the end to end delivery of data platforms for demanding clients, translating complex business requirements into robust, scalable data solutions. You design and implement data ingestion and processing pipelines that ensure high quality, low latency, and strong operational reliability. You collaborate closely with business stakeholders and data scientists to align technical implementations with strategic objectives and measurable outcomes. You act as a technical leader, mentoring junior team members and elevating the craftsmanship of the entire data team through code reviews and knowledge sharing. You contribute to the continuous improvement of delivery practices by experimenting with new tools, techniques, and automation opportunities. You represent Ippon with professionalism in all client interactions, reinforcing trust and long term partnerships. You ensure that every deployment is traceable, documented, and aligned with industry standards for security and compliance. You continuously refine your expertise by engaging with the wider data community and incorporating feedback into your daily work.

Key facts

What you'll do

Define and architect data platforms that meet functional and non functional requirements while supporting current and future business needs.

Develop scalable and maintainable data ingestion pipelines using distributed processing frameworks to handle high volume and variety of data sources.

Implement robust data transformation and enrichment processes that ensure consistency, accuracy, and compliance with data governance policies.

Orchestrate complex workflows across multiple systems, guaranteeing reliable execution, monitoring, and rapid troubleshooting of failures.

Optimize query performance and storage strategies across heterogeneous data stores to improve responsiveness and reduce operational costs.

Establish automated testing and continuous integration pipelines that validate data quality, schema evolution, and deployment safety for all data artifacts.

Integrate with cloud native services and managed offerings to build resilient, observable, and cost efficient data infrastructures.

Collaborate with data scientists to operationalize machine learning models, focusing on feature stores, batch scoring, and real time inference pipelines.

Document data architectures, data flows, and operational runbooks to enable smooth handovers and effective knowledge transfer.

Contribute to the internal data community by sharing best practices, conducting brown bag sessions, and publishing articles based on mission experiences.

Engage with the global network of Ippon experts to exchange insights, compare implementation patterns, and elevate collective problem solving.

Participate in the selection and evaluation of new data technologies, assessing their fit for scalability, maintainability, and business impact.

Support production incidents with a structured approach, coordinating with cross functional teams to restore service and prevent recurrence.

Champion data quality initiatives by defining metrics, monitoring anomalies, and driving remediation actions across the data lifecycle.

Requirements

You hold a solid understanding of distributed computing frameworks such as Spark, Storm, or Flink, and can apply them to solve complex data problems.

You demonstrate proficiency in one or more programming languages commonly used in data engineering, such as Python, Scala, or Java, writing clean, testable, and maintainable code.

You have hands on experience with multiple data storage technologies, including relational and NoSQL databases, and you use SQL effectively to query and manipulate data.

You are familiar with cloud data platforms and services on major providers, enabling you to design solutions that leverage native capabilities for scalability and resilience.

You have practical experience with streaming technologies like Kafka or Amazon Kinesis, building pipelines that process events reliably at scale.

You understand infrastructure as code principles and have used tools such as Terraform or CloudFormation to provision and manage cloud resources.

You have a proven track record of delivering data projects in production environments, embracing agile ways of working and continuous improvement.

You communicate clearly with both technical and non technical audiences, ensuring that trade offs and implementation decisions are well understood by all stakeholders.

Nice to have

Experience with Snowflake is considered a valuable asset for optimizing data warehousing and query performance in cloud environments.

Knowledge of additional streaming platforms, such as Amazon Kinesis, strengthens your ability to design event driven architectures.

Familiarity with data visualization tools and practices can enhance collaboration with business users and support insight driven decisions.

Experience contributing to open source projects or technical communities demonstrates initiative and a commitment to continuous learning.

Practical notes

This is a permanent position with a remote work arrangement.

Travel is not required for this role.

No specific visa requirements are mentioned for this position at this time.

The engagement is a permanent contract with ongoing opportunities for professional growth within the Ippon community.