h3Senior Data Engineer - Data Lakehouse Lead /h3pbstrongAbout Camlin /strong /b /ppCamlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of RD projects in a variety of scientific sectors. /ppAt Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide. /ppbstrongRole Overview /strong /b /ppThe Data Lakehouse Lead is responsible for the bstrongtechnical direction, evolution and outcomes of the organization's shared Data Lakehouse /strong /b . /ppThe role ensures that data is made available through bstrongwell-designed, meaningful and reliable data models and products /strong /b that can support Analytics, AI and other data-driven use cases. /ppThe role combines strong Data Engineering expertise with technical leadership, planning and stakeholder alignment. It works closely with Analytics teams, technical and business stakeholders to understand priorities, agree objectives, plan the work required, and ensure the Lakehouse evolves in a way that delivers meaningful value. /ppThis is a bstrongsenior technical leadership role /strong /b combining Data Engineering, data modelling, planning and stakeholder alignment. /ppThe role is responsible not only for how the Data Lakehouse is engineered, but also for bstrongwhether the resulting data is well structured, meaningful and useful to the organization /strong /b . /ppbstrongKey Responsibilities /strong /b /pulliDefine and evolve the technical design and data modelling approach for the Data Lakehouse. /liliLead the implementation of shared datasets and data products. /liliEstablish meaningful and reusable bstrongconceptual, logical and physical data models /strong /b that accurately represent the business and support analytical use cases.



/liliDefine patterns for data ingestion, modelling, transformation, storage and consumption. /liliTranslate business and analytical needs into clear data objectives and engineering priorities. /liliLead planning of the Data Lakehouse roadmap, balancing priorities, available capacity, dependencies and technical needs. /liliAlign objectives, scope, and expected outcomes with Analytics teams and other stakeholders. /liliEnsure planned work delivers agreed outcomes rather than simply completing technical activities. /liliReview proposals for new or evolving shared datasets and determine how they should fit into the wider data model and Lakehouse. /liliEnsure shared data products meet agreed standards for quality, reliability, documentation, lineage and usability. /liliGuide Data Engineers working on the Lakehouse and provide technical leadership on complex engineering problems. /liliIdentify opportunities to improve the usability, scalability, performance, maintainability and cost efficiency of the platform. /liliEnsure the Lakehouse evolves coherently rather than through isolated datasets and pipelines. /li /ulpbstrongWhat you'll need: /strong /b /pulliStrong professional experience in bstrongData Engineering /strong /b and modern data platforms. /liliStrong understanding of data modelling, including the ability to design data structures that are meaningful, coherent and reusable. /liliStrong understanding of data quality, metadata, lineage and data governance. /liliExperience designing and implementing data pipelines, transformations and data products at scale. /liliStrong understanding of modern Lakehouse architectures and data engineering patterns.



/liliExperience translating business and analytical requirements into data solutions. /liliStrong planning and prioritization skills, with the ability to align stakeholders around clear objectives and deliverables. /liliA results-oriented approach, with a focus on measurable outcomes rather than technical activity alone. /liliAbility to provide technical leadership to Data Engineers and collaborate effectively with Analytics, AI, Discovery and Delivery teams. /liliStrong architectural and problem-solving skills, combined with pragmatic decision-making. /liliStrong communication skills and the ability to explain data modelling and technical decisions to both technical and non-technical stakeholders. /lilibstrongDaily food vouchers: /strong /b for days worked in person in the premises. /lilibstrongTraining Support: /strong /b We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development. /lilibstrongDiscounted Gym Membership: /strong /b Stay fit with our discounted gym membership program. /lilibstrongWellness Programs: /strong /b We prioritise your well-being through our wellness initiatives. /lilibstrongInternal Reward Recognition Tool Kudos: /strong /b This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. /li /ulpbstrongOur Values /strong /b /pulliWe work together /liliWe believe in people /liliWe won’t accept the ‘way it has always been done’ /liliWe listen to learn /liliWe’re trying to do the right thing /li /ulpbstrongEqual Employment Opportunity Statement /strong /b /ppIndividuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation. /p #J-18808-Ljbffr

📌 Data Lakehouse Lead & Senior Data Engineer (Parma)
🏢 Camlin Group
📍 Parma