Senior Data Engineer – Data Product - Parma - Camlin Group

    Camlin Group
    Camlin Group Parma

    13 ore fa

    Descrizione

    Camlin is a global technology leader with a bold vision: to bring revolutionary products to life across diverse industries like power and rail. Our passion extends to pioneering R&D projects in various scientific sectors.

    At Camlin, we thrive on high-quality engineering and innovative design, crafting market-leading products and services. Simply put, we love creating value for our customers by tackling the toughest challenges. Today, Camlin's influence spans over 20 countries worldwide.

    We are looking for a Senior Data Engineer to join our team in a highly technical role, with a strong focus on building real data and AI products that deliver measurable outcomes.

    This is not a traditional "pipeline-only" data engineering role. You will work across the data, ML/AI, and product stack, helping turn uncertainty into clear plans, reduce technical and product risk early, and drive predictable delivery in complex environments.

    You will start as a hands‑on contributor with strong leadership influence and, depending on fit and impact, can grow into a technical leadership role very quickly.

    What you will do:

    • Drive the design and development of data and AI-enabled products, from early exploration through validated, production‑ready models
    • Help turn ambiguous problem statements into clear delivery plans, making assumptions, risks, and trade‑offs explicit
    • Lead risk reduction activities (e.g. prototypes, spikes, technical validation) early in the lifecycle
    • Contribute to and influence product definition, ensuring solutions are technically feasible and scalable
    • Define and refine clear success metrics for data and AI initiatives, aligned with product and business goals
    • Communicate effectively with management and non‑technical stakeholders, including escalating when needed.
    • Actively contribute to improving ways of working through a constructive, open, and disciplined approach

    What we are looking for:


    Must have

    • Strong experience as a data science, data engineer or similar role, working across the broader data stack
    • Proven ability to operate effectively in ambiguous problem spaces
    • Experience building data products, not just pipelines
    • Solid understanding of ML/AI concepts and how models are integrated into real systems
    • Ability to reason about trade‑offs (accuracy vs cost, latency, reliability, complexity)
    • Strong communication skills and comfort interacting with management and product stakeholders
    • A results‑oriented mindset: you care about outcomes, not just implementations
    • Willingness to take ownership, ask hard questions, and drive clarity

    What this role is not:

    • Primarily a pipeline or ETL-only engineer
    • Most comfortable working from fully specified requirements
    • Focused mainly on academic or research-oriented ML
    • Uncomfortable discussing trade‑offs, risks, or constraints with management
    • Daily food vouchers: for days worked in person in the premises.
    • Training Support: 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.
    • Discounted Gym Membership: Stay fit with our discounted gym membership program.
    • Wellness Programs: We prioritise your well‑being through our wellness initiatives.
    • Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.

    Our Values

    • We work together
    • We believe in people
    • We won't accept the 'way it's always been done'
    • We listen to learn
    • We're trying to do the right thing

    EQUAL EMPLOYMENT OPPORTUNITY STATEMENT


    Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.


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