h3Senior Data Engineer - Data Lakehouse Lead /h3 h3About Camlin /h3 pCamlin 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. /p pAt 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. /p h3Role Overview /h3 pThe Data Lakehouse Lead is responsible for the btechnical direction, evolution and outcomes of the organization's shared Data Lakehouse /b . /p pThe role ensures that data is made available through bwell-designed, meaningful and reliable data models and products /b that can support Analytics, AI and other data-driven use cases. /p pThe 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. /p pThis is a bsenior technical leadership role /b combining Data Engineering, data modelling, planning and stakeholder alignment. /p pThe role is responsible not only for how the Data Lakehouse is engineered, but also for bwhether the resulting data is well structured, meaningful and useful to the organization /b . /p h3Key Responsibilities /h3 ul liDefine and evolve the technical design and data modelling approach for the Data Lakehouse. /li liLead the implementation of shared datasets and data products. /li liEstablish meaningful and reusable bconceptual, logical and physical data models /b that accurately represent the business and support analytical use cases. /li liDefine patterns for data ingestion, modelling,



transformation, storage and consumption. /li liTranslate business and analytical needs into clear data objectives and engineering priorities. /li liLead planning of the Data Lakehouse roadmap, balancing priorities, available capacity, dependencies and technical needs. /li liAlign objectives, scope, and expected outcomes with Analytics teams and other stakeholders. /li liEnsure planned work delivers agreed outcomes rather than simply completing technical activities. /li liReview proposals for new or evolving shared datasets and determine how they should fit into the wider data model and Lakehouse. /li liEnsure shared data products meet agreed standards for quality, reliability, documentation, lineage and usability. /li liGuide Data Engineers working on the Lakehouse and provide technical leadership on complex engineering problems. /li liIdentify opportunities to improve the usability, scalability, performance, maintainability and cost efficiency of the platform. /li liEnsure the Lakehouse evolves coherently rather than through isolated datasets and pipelines. /li /ul h3What you'll need: /h3 ul liStrong professional experience in bData Engineering /b and modern data platforms. /li liStrong understanding of data modelling, including the ability to design data structures that are meaningful, coherent and reusable. /li liStrong understanding of data quality, metadata, lineage and data governance. /li liExperience designing and implementing data pipelines, transformations and data products at scale.



/li liStrong understanding of modern Lakehouse architectures and data engineering patterns. /li liExperience translating business and analytical requirements into data solutions. /li liStrong planning and prioritization skills, with the ability to align stakeholders around clear objectives and deliverables. /li liA results-oriented approach, with a focus on measurable outcomes rather than technical activity alone. /li liAbility to provide technical leadership to Data Engineers and collaborate effectively with Analytics, AI, Discovery and Delivery teams. /li liStrong architectural and problem-solving skills, combined with pragmatic decision-making. /li liStrong communication skills and the ability to explain data modelling and technical decisions to both technical and non-technical stakeholders. /li libDaily food vouchers: /b for days worked in person in the premises. /li libTraining Support: /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. /li libDiscounted Gym Membership: /b Stay fit with our discounted gym membership program. /li libWellness Programs: /b We prioritise your well-being through our wellness initiatives. /li libInternal Reward Recognition Tool Kudos: /b This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. /li /ul h3Our Values /h3 ul liWe work together /li liWe believe in people /li liWe won’t accept the ‘way it has always been done’ /li liWe listen to learn /li liWe’re trying to do the right thing /li /ul h3Equal Employment Opportunity Statement /h3 pIndividuals 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

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