Senior Data Engineer (m/f/d)

Posted 10 Hours Ago
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20148, Hamburg
Senior level
Artificial Intelligence • Consulting
The Role
The Senior Data Engineer will innovate, build, and maintain data solutions while working collaboratively with a diverse team. Responsibilities include managing data pipelines, training others, optimizing performance, and communicating technical solutions to non-technical clients. The role demands experience with modern tools and a mindset focused on continuous improvement and knowledge sharing.
Summary Generated by Built In

Artefact, a global AI and data consulting company with rapid growth, is looking for a:n communicative:n, innovative:n Data Engineer (m/f/d) to join the Tech team full-time. Will this be you?

Our Data Engineering team transforms a wide range of technical expertise into solutions that can be used for years and bring real value to our customers. You will gain experience in dealing with customers and non-technical people and see the impact of your work in practice.

Your responsibilities:

  • Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  • Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  • Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  • Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 
  • Set up, implement, and maintain data pipelines at various stages of the data lifecycle, including building platforms, migrating architectures, and reviewing security.

  • Gain broad experience by contributing to 1-3 projects per year, working across diverse industries, use cases, and technologies.

  • See real-world impact by building long-lasting solutions that deliver tangible value and involve collaboration with clients and non-technical stakeholders.

  • Work with cutting-edge tools like GCP, Terraform, DBT, Vertex AI, and Python as the primary programming language.

Your mindset 

  • Curious, you are always seeking innovative solutions for your clients. You are involved in all the value chain which can be, front-end, back-end, big data infrastructure, ML model … 
  • Sharing of knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
  • Entrepreneurial, you bring solutions, new ideas, within your team at Artefact 

Profile :

  • You act on all the value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations, of front-ends, of tests, continuous deployments)
  • Your studies involved software engineering, and you have experience in DevOps 
  • You know how to set up and deploy NLP model provided by our data scientists 
  • You are a ninja in the use and exploitation of data bus like Kafka of PubSub
  • You practiced indexation system such as ElasticSearch and Vespa 
  • You have a  good knowledge of python, you are really interested in the command line *nix, you are familiar or have already used  cloud technologies such as GCP or AWS, you have already used big data technologies like Flink, Spark, or Beam and Docker (K8S is an asset)
  • You can popularize technical terms or solutions to more business oriented profiles, you can work in a team with very diversified profiles
  • You know how to prioritize your tasks, respect deadlines, prevent in case of problems 
  • You can manage a team, coach juniors, identify their axes of progress
  • You can anticipate risks projects, you moderate risks when choosing for a technology 
  • You have a good level of english 

Why ARTEFACT?

  • Challenging projects for major national and international clients across various industries.
  • Diverse career opportunities with promotions based on your personal performance, not tenure.
  • Strong team spirit that drives our daily work and keeps us connected.
  • Personal development through trainings, coaching, regular Lunch & Learn sessions, and exciting international client projects.
  • Attractive benefits: Hybrid work, flexible working hours, 1 additional day off for your birthday, Christmas and New Year's Eve off, mental health initiatives, company pension plan, 4 weeks of workation, corporate benefits, office brunch, parties, free drinks/coffee/water, and more.

To learn more about our culture, benefits, and other job opportunities, visit us at: karriere-deutschland.artefact.com.

Come and join us!

Artefact is a leading global consulting firm dedicated to leveraging data and AI to enhance organizations and their people. We specialize in data transformation and data-driven marketing to deliver measurable business results across the entire value chain.

Artefact offers the widest range of data-driven solutions across industries, based on cutting-edge data science and state-of-the-art AI technologies, successfully deploying large-scale AI projects across all sectors.

Our 1500+ employees operate in 20 countries (Europe, Asia, North and South America, the Middle East, and Africa), working with over 1000 clients, including some of the world's top 300 brands such as Samsung, L'Oréal, and Sanofi.

If you have any questions, feel free to contact us at [email protected] or [email protected].

We encourage applicants from all backgrounds and warmly welcome you, regardless of your gender, origin, or LGBTQ+ identity.

Top Skills

Python
The Company
New York, New York
1,637 Employees
On-site Workplace
Year Founded: 2014

What We Do

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain.

Our 1500 employees operate in 23 countries (Europe, Americas, Asia, Middle East Africa) and we partner with 1000 clients, including 300 major brands like Samsung, L’Oréal, Orange and Sanofi.

We provide customized services from strategy to operations: data strategy, data quality and governance, data platforms, AI factories, demand forecasting, data marketing & sales, AI for call centers, Data & AI School, specialized by industry sectors with dedicated consultancy and technology support

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