Expected, Jira, SQL SERVER, PowerBi, SQL

Optional, Kafka, Hadoop, Spark Streaming

Operating system, Windows

About the project, You will be an essential part of the data engineering organization, the SAP program community and Pandora’s extended Data & Analytics community. You will work within the data product engineering team in a virtual and agile based organization., , As we are a growing team, you will have the chance to influence our culture and working tools and work together with other data engineers, front-end engineers, architects, scrum masters, product owners and much more from Europe, India and Thailand.

Your responsibilities, Build high quality data products on our Azure Paas data platform, At HCL, we are growing our Data & Analytics footprint. As our new data engineer you will collaborate with product owners, architects and other key profiles across the global organisation. You will help business verticals and clusters maximizing the value of our data and drive business change as an impact of this., , Your primary focus will be building and implementing scalable data products on our global data platform together with other smart engineers in the organization. You will be focusing on building out our analytical stack linked to our SAP S/4 Hana implementation which will replace our current ERP landscape. We see significant potential in enhancing our solutions with SAP as the core engine., , Further to this you will:, , • Work closely with your colleagues within a product team to design scalable, efficient and stable products, • Work closely with product owners to build/enhance and deliver features designed to support PANDORA to drive commercial business cases and efficiencies within reporting and analytics and other data driven use cases, • Create and maintain high quality data pipeline architecture, • Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling, • Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc., • Own your data products and track continuous stability and benefits, • Live and breathe “build-once-consume-many” culture in which we enable others to use our data products for maximum value-add, • Work with stakeholders and teams to assist with data-related technical challenges, • Follow best practice and existing guidelines but also push the limits, • Thrive in a fast paced environment and you get motivated by challenges as a true problem solver., , We are on a journey from IaaS based Microsoft/QV solutions to Azure PaaS with use of well-known tools and solutions like ADF, Data lake, Synapse, Analysis Services and DataBricks., , Team Player Passionate About Data And Engineering, , Some would say that you are a real team player, product oriented, can-do attitude and with good stakeholder management skills. You are structured and analytical, always aiming to achieve great results. Furthermore, you are a confident communicator and have the ability to explain your solution design and tailor the message according to the audience.

Proven experience with especially ADF, DataBricks, Synapse, tabular models/analysis services, PowerBI and SQL Server, Experience with at least one object oriented or functional/scripting/querying languages – Java, Scala, Python, SQL, DAX etc., DevOps and CI/CD focus preferably with JIRA, Hands-on with git and coding best practice, Experience in working with relational data sets using SQL, Experience with datawarehousing, dimensional modelling and cubes, Experience in building, and optimizing data pipelines, architectures, and datasets, Experience in working with Azure, AWS or other cloud providers, Designed, built and delivered production ready data products at an enterprise level, Highly proficient in English and able to communicate with all levels, Agile mindset and experience of Scrum

Optional, SAP ERP datasets, Big data: Spark, Hadoop, Stream-processing systems: Kafka or Spark Streaming

This is how we work, agile, scrum

What we offer, Life insurance, Private medical care, MultiSport Card, Subsidy for glasses, Subsidy to language courses, Christmas and holiday bonuses

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, life insurance, retirement pension plan, extra social benefits, employee referral program, charity initiatives

Recruitment stages, Application , Shorlisting , Technical & HR Interview, Offer Rollout

At HCL, we don’t just accept the differences—we support it and celebrate it. We are committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team of employees. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place.

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HCL Poland, HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 30, 2022 totaled $12.1 billion. To learn how we can supercharge progress for you, visit hcltech.com.

Data Engineer