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Data Engineer

fully flexible
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Full Remote
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Offer summary

Qualifications:

Proficiency with Python and SQL, Hands-on experience with cloud platforms (AWS, GCP, Azure), Experience with relational and NoSQL databases, Strong knowledge of data structures and modeling, Familiarity with containerization technologies.

Key responsabilities:

  • Collaborate with stakeholders on business requirements
  • Provide engineering support for AI model development
  • Optimize data transformations and ETL/ELT processes
  • Implement monitoring and maintenance for data pipelines
  • Maintain documentation related to data processes
Satalia logo
Satalia SME https://www.satalia.com/
51 - 200 Employees
See more Satalia offers

Job description

Role type: Full time

Location: Remote within UK or Greece

Preferred start date: ASAP

LIFE AS A SATALIAN

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a Wunderman Thompson Company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.

Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.


THE ROLE

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.

As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal and professional growth. You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap. Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.

We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills

It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI.


YOUR RESPONSIBILITIES

  • Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements.
  • Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it.
  • Implement and optimize data transformations and ETL/ELT processes, using appropriate data engineering tools.
  • Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently.
  • Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimize performance.
  • Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogs, data flow diagrams, and process documentation.


MINIMUM QUALIFICATIONS / SKILLS

  • Proficiency with Python and SQL programming languages.
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure, and familiarity with big data technologies such as Hadoop or Spark.
  • Experience working with relational databases and NoSQL databases.
  • Strong knowledge of data structures, data modelling, and database schema design.
  • Experience in supporting data science workloads and working with both structured and unstructured data.
  • Familiarity with containerization technologies, such as Docker or Kubernetes.
  • Experience with data visualization tools, such as Tableau or Power BI is a plus.


If you feel like you don’t tick all our boxes but know you’d make a fantastic Data Engineer at Satalia, please do apply! We know the value of transferable skills and experiences and would love to hear about these in your cover letter. As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use.

WE OFFER

  • Remote working - from within the UK or Greece
  • Truly flexible working hours - school pick up, volunteering, gym
  • Benefits - health insurance, income protection, life assurance, enhanced pension
  • Impactful projects - focus on bringing meaningful social and environmental change
  • People oriented culture - wellbeing is a priority, as is being a nice person
  • Transparent and open culture - you will be heard
  • Generous leave - 27 days’ holiday plus bank holidays and enhanced family leave
  • Annual bonus - when Satalia does well, we all do well
  • Development - annual development budget to upskill yourself

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.

By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy.

Good luck!

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Troubleshooting (Problem Solving)

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