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Innovate is looking for a Senior Python API Developer to join their team. The ideal candidate will have a strong background in Python development (minimum 5 years' professional experience), particularly in building and maintaining REST APIs. Responsibilities include developing RESTful APIs for both relational and non-relational databases, ensuring efficient deployment using CI/CD best practices, and collaborating in a team-oriented environment. Proficiency in cloud platforms, especially AWS or Azure, is required, alongside strong problem-solving skills.

Xccelerated is looking for a Medior Data Engineer to help build a state-of-the-art Data Platform on Google Cloud Platform. You will collaborate with experienced consultants and receive over 60 days of tailored training to maximize your learning and impact. Your role involves building components for the platform, deploying models, and collaborating with analytics teams to ensure effective data integration.

Alten is looking for a Data Engineer – Spark & Cloud Data Pipelines to design, build, and optimize high-performance data pipelines in a dynamic enterprise environment. You will work at the intersection of data engineering, cloud infrastructure, and advanced analytics to drive data-driven decision-making across the organization. This role involves close collaboration with data scientists, architects, and business stakeholders to implement scalable data solutions.

Hirestone is looking for a Head of Data Platform to lead a team of Data Engineers & DataOps Engineers in shaping and managing an innovative data platform within the Retail Tech sector. Responsibilities include defining the vision for the Data Platform team, overseeing data calculations and integrations, designing and optimizing data pipelines, ensuring data quality, security, and compliance, and serving as a key interface with cross-functional teams. Ideal candidates should have 5-10 years of experience in Data Engineering or DataOps, have strong leadership skills, and possess a strategic vision with an understanding of product development and stakeholder engagement.

Salesforce is looking for a Senior Specialist Solution Engineer - Analytics to engage with customers and uncover how data can drive their success. The ideal candidate will possess strong problem-solving skills in data and analytics, a background in BI platforms, and exceptional communication skills.

Eneco is looking for a Data Science Forecaster to contribute to the development of forecasting products that meet the needs of stakeholders in the energy sector. You will play a critical role in researching and improving proprietary power production forecasting models for renewable energy sources. The focus will be on enhancing forecast accuracy, collaborating with various teams, and providing actionable insights that drive trading decisions.

EAT HAPPY GROUP is looking for a Data Engineer (m/w/d) who will be responsible for building, maintaining, and evolving data architectures such as Data Warehouses and Data Lakes. The ideal candidate will develop and orchestrate ETL/ELT processes for data integration, model and optimize data for analysis and reporting applications, and collaborate closely with Data Scientists and Analysts to craft data-driven solutions. Required skills include strong SQL knowledge, experience with Lakehouse architectures, proficiency in Python and Bash scripting, and familiarity with orchestration tools like Airflow.

STRABAG AG is looking for an Azure Data Engineer (m/w/d) to analyze and utilize new data sources in the Corporate Data Lake within the Microsoft Azure Cloud, prepare and deliver data for data analysts and data scientists, and contribute to the development and operation of the multi-stage cloud platform for data science and data warehousing projects. The ideal candidate will have experience in data modeling, relevant data processing technologies like SQL and Python, and familiarity with technologies such as Spark and Databricks. Knowledge of CI/CD processes and Azure Synapse Analytics would be advantageous.

Iris Software Inc. is looking for a Data Engineer with expertise in designing, building, and optimizing scalable data pipelines. In this hybrid role, you will work 3 days onsite per week in Toronto, collaborating closely with cross-functional teams, including Data Scientists and Analysts, to ensure efficient data flow across systems. Key responsibilities include developing data processing pipelines using PySpark and Databricks, orchestrating workflows with Apache Airflow, and ensuring compliance with data security standards. Candidates should have a degree in Computer Science or a related field, alongside 7 years of experience in data engineering, with a strong understanding of data governance and excellent communication skills.

Lawrence Harvey is looking for a Senior Data Engineer to join their team. You will work on large-scale Data & AI projects in a stimulating and collaborative environment focused on responsible digital issues. Your responsibilities will include implementing modern data platforms, developing the technical architecture and delivery of strategic projects, engaging in R&D activities, and mentoring team members. Candidates should possess strong skills in SQL and Python, experience with data cloud solutions like Snowflake and Databricks, and familiarity with storage formats and DevOps tools. Soft skills such as curiosity and good communication in both French and English are essential.