Big Data Developer

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand a turnover of €850M, we are committed to delivering impactful, future-ready solutions.
Talan at a Glance
Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowermentto deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenuethis year.
Our Core Areas of Expertise
Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
Management & Innovation Consulting: We lead business and digital transformation initiativesthrough project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.
Job Description
About the role
We are looking for a Big Data Developer to join an Agile environment and work on the design, development and evolution of data lake solutions for Market Risk use cases .
You will work with technologies such as Spark, Scala and SQL , developing large-scale data processing pipelines and contributing to the ingestion, transformation, validation and publication of critical data.
The role combines hands-on technical development with problem-solving and collaboration across Agile squads, functional teams and production support teams.
What will you do?
Design, develop and maintain data lake pipelines using Apache Spark, Scala and SQL .
Build and maintain scalable data processing solutions for large volumes of data.
Orchestrate batch workflows and dependencies using tools such as Control-M and Airflow .
Implement data ingestion, transformation, validation and publication processes for Market Risk use cases.
Analyse and optimise the performance, reliability and scalability of Spark-based workloads.
Analyse technical and functional requirements, identify gaps and propose effective solutions.
Contribute to delivery planning and collaborate with different teams to ensure successful implementation.
Support production incidents , perform root-cause analysis and contribute to continuous improvement of operational processes.
Work closely with Agile squads, functional teams and production support teams to deliver high-quality solutions and business value.
Follow software engineering and data development best practices to ensure robust, maintainable and production-ready solutions.
Qualifications
What are we looking for?
Mandatory requirements:
2+ years of professional experience in Big Data, Data Lakes or cloud-based data platforms.
Strong hands-on experience with Apache Spark, Scala and SQL for large-scale data processing.
Good understanding of Data Lake architecture , data quality controls, data lineage and production-grade data pipelines.
Strong analytical and problem-solving skills.
Excellent communication and teamwork skills, with the ability to collaborate effectively with technical and functional stakeholders.
Adaptability and a proactive approach to solving technical challenges.
English: C1 level or equivalent professional fluency.
Spanish is considered a plus.
Nice to have
Experience with any of the following will be highly valued:
Workflow orchestration and scheduling tools, particularly Control-M and Airflow .
Databricks and cloud technologies such as Azure and AWS .
YARN and cloud-based compute environments.
CI/CD and software engineering practices, including GitHub, Jenkins and SonarQube .
Banking production environments, operational monitoring and incident management tools such as ServiceNow .
Knowledge of Market Risk processes , including P&L, valuations, risk metrics and regulatory reporting data flows.
Additional Information
What do we offer you?
100% remote working with the flexibility to work from wherever you are.
Professional growth and career development opportunities , with access to continuous learning.
The opportunity to join a multicultural and international environment , collaborating with colleagues and teams across different countries.
A comprehensive range of benefits designed to support your physical, emotional and financial wellbeing , including:
Private medical insurance
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