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Sollers Consulting is more than a consultancy and software integrator. As a company founded in 2000, our mission has been to transform the financial & insurance industries by helping them adapt to new technologies. We strive to be the best at what we do, both in the eyes of our team and our customers. We put people at the heart of every project. About Data Competency at Sollers: Versatility is the keyword when it comes to what we do in IT. Data Competency is one of our initiatives to support digital transformation of financial sector, enabling our customers to become truly data-driven companies. Our mission is to ensure capabilities to address financial sector data-related needs. As a Data Engineer, you will be responsible for building and optimizing our clients data pipelines and data flows. You will work on various data initiatives and ensure optimal data delivery. You are the ideal candidate if you have experience in data warehousing and data wrangling. If you enjoy building data systems from scratch and modifying existing ones, you will have the opportunity to do so at Sollers. Build scalable data processing pipelines. Identify potential improvements and enhancements for current data processing solutions. Advise on the utilization of appropriate tools and technologies. Recommend potential enhancements to the existing data architecture. Monitor performance and optimize data processing flows. Collaborate with Business Analysts, Subject Matter Experts, and Tech Leads to ensure thorough consideration of business requirements in both the design and subsequent development phases. Address crucial aspects such as data privacy, security, regulatory compliance, data integrity, and availability. Work directly with our clients as an active member of an agile project team. Snowflake, Databricks Azure, AWS ETL/ELT data pipelines using batch and stream processing DWH, data lakes, data lakehouses BI & predictive analytics;
AI/ML RDBMS, CDC, APIs, data connectors, file systems (structured, semi-structured and unstructured) SQL, Python DataOps Data architecture, data modeling, design patterns At least 3 years of experience in data engineering. Experience with ETL/ELT processes and building data processing pipelines. Experience working with various data sources (RDBMS, CDC, APIs, data connectors, structured, semi-structured and unstructured files). Experience with various data transformation and processing tools (e.G. Knowledge of data modelling concepts. Proficiency in SQL and good knowledge of at least one programming language (Python, Java, Scala, R). Good command of English language, at least B2/C1 level. Availability to work full time. Practical experience with Snowflake or Databricks. Practical experience with DWH data modeling. Familiarity with one or more Cloud data stacks (AWS, Azure, GCP). Fluency in French or German. Flexible working hours and a hybrid home office model (2-3 times per week in the office) as work-life balance is crucial at Sollers. - Opportunities for growth with a training budget that you can use for courses and conferences. We also provide access to an online training platform and co-fund language classes. - An internal coach to guide you through the onboarding, further training and career opportunities, plus a budget to be used for your lunches together. - Lots of teambuilding activities, trips, hobby groups and cultural events to create a company powered by teamwork. -