[online recruitment]
We are establishing brand new Data Analytics team for global range customer from retail area.
In essence, client is leveraging the Azure PaaS platform with all kind of (business) data to build an advanced analytics platform aiming at delivering better insights and applications to the business.
The platforms are continuously being enhanced to support (additional) CI/CD and validated learning environment for science, machine learning and AI capabilities for all areas customer-facing like digital omni-channel interaction and commerce, commerce relevance, personalisation, loyalty and marketing and non-customer-facing like assortment optimization, supply chain optimization, external parties and IoT.
We will be working on end to end functionality including architecture, data preparation, processing and consumption by systems.
EMEA Team 2
Function: Senior Data Engineer
Job Description
As Data Engineer you'll be working with alongside data architects to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. You will be creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs.
You seek to grow your expertise in the different infrastructures, tools and applications, and stages of advanced analytic workflows. You are inventive and passionate about streamlining and automating data acquisition and possess a highly structured approach to problem solving.
You will be the go-to person for end-to-end data handling, management and analytics processes.
Essential Experience Required
- Proven hands on business intelligence development or data engineering experience;
- Extensive ETL experience;
- Solid experience with data modelling, data warehouse design and data lake concepts and practices;
- Exposure working in a Microsoft Azure Data Platform environment;
- Azure Data Factory
- Azure Storage (Blob or Data Lake)
- Databricks
- Azure Functions
- SQL Azure DB
- SQL Azure DW
- Synapse
Desirable
- Working on cloud-based big data solutions using Hadoop/Spark;
- SSAS cube development;
- Enterprise BI reporting – Power BI;
- Azure DevOps – CI/CD.
Responsibilities
- Ingest data-sources into our data management platforms
- Structure data into a scalable and easily understood architecture
- Work in a multi-disciplined team where you'll turn data discoveries and ideas into models and insights. You'll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
- Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
- Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
Qualifications
- MSc in a computational field or another relevant area
- 10+ years industrial experience in the domain of large-scale data management, visualization and analytics
- Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
- Expertise in advanced data modelling
- Experience with Microsoft data management tools and the Azure platform environment
- Curious, proactive, fast learner able to quickly picking-up new areas
- Experience with agile methodologies
- Perfect communication skills
- Hands-on!
- Can Do approach!
Function: Data Engineer
Job Description
As Data Engineer you'll be working with alongside data architects to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. You will be creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs.
You seek to grow your expertise in the different infrastructures, tools and applications, and stages of advanced analytic workflows. You are inventive and passionate about streamlining and automating data acquisition and possess a highly structured approach to problem solving.
You will be the go-to person for end-to-end data handling, management and analytics processes.
Essential Experience Required
- Proven hands on business intelligence development or data engineering experience;
- Extensive ETL experience;
- Solid experience with data modelling, data warehouse design and data lake concepts and practices;
- Exposure working in a Microsoft Azure Data Platform environment;
- Azure Data Factory
- Azure Storage (Blob or Data Lake)
- Databricks
- Azure Functions
- SQL Azure DB
- SQL Azure DW
- Synapse
Desirable
- Working on cloud-based big data solutions using Hadoop/Spark;
- SSAS cube development;
- Enterprise BI reporting – Power BI;
- Azure DevOps – CI/CD.
Responsibilities
- Ingest data-sources into our data management platforms
- Structure data into a scalable and easily understood architecture
- Work in a multi-disciplined team where you'll turn data discoveries and ideas into models and insights. You'll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
- Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
- Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
Qualifications
- MSc in a computational field or another relevant area
- 5+ years industrial experience in the domain of large-scale data management, visualization and analytics
- Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
- Expertise in advanced data modelling
- Experience with Microsoft data management tools and the Azure platform environment
- Curious, proactive, fast learner able to quickly picking-up new areas
- Experience with agile methodologies
- Perfect communication skills
- Hands-on!
- Can Do approach!
Essential Experience Required
- Python/Pyspark
- Azure Databricks (it's not mandatory if candidate knows Pyspark)
- SQL
- 5+ years industrial experience in the domain of large-scale data management, visualization and analytics
Essential Experience Required
- Python/Pyspark
- Azure Databricks (it's not mandatory if candidate knows Pyspark)
- SQL
- 5+ years industrial experience in the domain of large-scale data management, visualization and analytics
Other qualifications
- Basic knowledge in Azure Data factory.
- MSc in a computational field or another relevant area
- Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
- Expertise in advanced data modelling
- Experience with Microsoft data management tools and the Azure platform environment
- Curious, proactive, fast learner able to quickly picking-up new areas
- Experience with agile methodologies
- Perfect communication skills
- Hands-on!
- Can Do approach!
- International projects for clients all over the world
- Competitive salary
- Individual development plan
- Managerial Targeted Training programs
- BRIDGE Mentoring Program
- Luxoft Training Center
- Language Classes
- Self-learning online library
- Global Relocation Program
- Internal Mobility (a chance to gain experience in varied projects and technologies)
- Professional communities for knowledge-sharing (Agile, Tech, Business)
- Group Life Insurance
- Travel Insurance
- Private Healthcare (dental care, unlimited consultations of specialist physicians)
- Medical costs reimbursement for employees
- Benefit Program (Cafeteria and Multisport Card)
- LuxGood Program (a wide range of health and well-being initiatives)
- After-hours groups (sport, trips, board games, cultural activities)
- Company and Team events
- BeLux - discount offers program (banking, car leasing, other)
- Convenient locations in modern offices
- International projects for clients all over the world
- Competitive salary
- Individual development plan
- Managerial Targeted Training programs
- BRIDGE Mentoring Program
- Luxoft Training Center
- Language Classes
- Self-learning online library
- Global Relocation Program
- Internal Mobility (a chance to gain experience in varied projects and technologies)
- Professional communities for knowledge-sharing (Agile, Tech, Business)
- Group Life Insurance
- Travel Insurance
- Private Healthcare (dental care, unlimited consultations of specialist physicians)
- Medical costs reimbursement for employees
- Benefit Program (Cafeteria and Multisport Card)
- LuxGood Program (a wide range of health and well-being initiatives)
- After-hours groups (sport, trips, board games, cultural activities)
- Company and Team events
- BeLux - discount offers program (banking, car leasing, other)
- Convenient locations in modern offices
