103 215
17 493
? Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
? For our Client we are looking for Senior Data Engineer - 3 days onsite ?
✔Job Summary:
We are looking for a highly skilled Senior Data Engineer to join innovative data team. The ideal candidate will have extensive experience in data extraction, transformation, and loading (ETL) processes, as well as a strong background in cloud data tools. You will be responsible for building and optimizing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.
✔Performance Excellence:
The ideal candidate will demonstrate high performance, consistently exceeding targets and expectations related to the data team. Contributions should lead to impactful projects, such as the Global Data Mart utilized across regions.
✔Subject Matter Expertise:
To deliver the company’s strategic objectives, the candidate must demonstrate significant expertise in the Financial Services domains, concentrated on a captive finance company. In-depth knowledge of local, regional, and global financial processes, and data related to customers, dealers, and suppliers, including personal data is essential. These qualifications will drive company’s strategic objectives forward, helping us achieve goal of becoming a fully data driven company
✔ We offer:
Contact person: nicola.urbanska@eworkgroup.com
✔Qualifications:
? Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
? For our Client we are looking for Senior Data Engineer - 3 days onsite ?
✔Job Summary:
We are looking for a highly skilled Senior Data Engineer to join innovative data team. The ideal candidate will have extensive experience in data extraction, transformation, and loading (ETL) processes, as well as a strong background in cloud data tools. You will be responsible for building and optimizing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.
✔Performance Excellence:
The ideal candidate will demonstrate high performance, consistently exceeding targets and expectations related to the data team. Contributions should lead to impactful projects, such as the Global Data Mart utilized across regions.
✔Subject Matter Expertise:
To deliver the company’s strategic objectives, the candidate must demonstrate significant expertise in the Financial Services domains, concentrated on a captive finance company. In-depth knowledge of local, regional, and global financial processes, and data related to customers, dealers, and suppliers, including personal data is essential. These qualifications will drive company’s strategic objectives forward, helping us achieve goal of becoming a fully data driven company
✔ We offer:
Contact person: nicola.urbanska@eworkgroup.com
,[Data Management: Extract, combine, transform, load, manipulate, and cleanse data from various sources to ensure high-quality datasets for analysis. , Collaboration: Work closely with data modelers and business analysts to understand the data model and source-to-staging data mapping. , Data Structures: Create and integrate data structures suitable for analysis, including developing DDLs to create various MS Cloud SQL Server tables and views in Pond (a subset of the Data Lake) DB. , Databricks Development: Design and develop Databricks notebooks for extracting data from various input files, joining related entities to create Shared File Formats (SFFs). , Ingestion Framework: Configure the Ingestion Framework (IF) tables to utilize the existing framework for loading staging and Data Lake Core (DLC) tables. , Algorithm Development: Develop and deploy algorithms in performance-efficient code across analytical and data platforms. , Data Pipelines: Build large-scale batch and real-time data pipelines using data processing frameworks in cloud platforms or on-premise environments. , Continuous Integration: Leverage best practices in continuous integration and delivery to enhance data workflows. , Data Governance: Track data consumption patterns, collaborating with data governance and information stewards, and participate in vetting and promoting content for the curated data catalog. , Automation: Recommend and implement automation in existing and future integration flows to improve efficiency. , Data Quality Improvement: Drive advancements in data acquisition, testing, and tooling to enhance data quality. , Agile Collaboration: Work in cross-functional agile teams to continuously experiment, iterate, and deliver on new product objectives. , Requirement Analysis: Play a key role in requirement analysis and project estimates to ensure alignment with business goals. , Performance Monitoring: Monitor performance and optimize SQL queries for maximum efficiency. , Documentation: Prepare detailed design documents with prototypes and screenshots based on Business Requirement Documents (BRD) and System Requirement Documents. , Cloud Tools Utilization: Work with various cloud data tools such as Azure SQL, Azure Data Factory, and Azure Databricks to ingest and prepare data for analysis as per business requirements. Requirements: ETL, Cloud, SQL Server, Databricks, SQL, Azure, Python, Java, PySpark Additionally: Sport Subscription, Private healthcare, International environment, Life insurance.