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For Companies At a Glance
- Tasks: Collaborate on innovative AI projects and optimise data processes for impactful solutions.
- Company: Join Satalia, a forward-thinking WPP company focused on AI and data science.
- Benefits: Enjoy flexible working, enhanced leave, private healthcare, and an annual bonus.
- Why this job: Be at the forefront of AI, shaping solutions that make a real difference.
- Qualifications: Proficient in Python and SQL, with experience in cloud platforms and data technologies.
- Other info: Work in a supportive culture that prioritises wellbeing and personal growth.
The predicted salary is between 36000 - 60000 £ per year.
Role type: Permanent
Location: UK or Greece or Lithuania
Preferred start date: ASAP
LIFE AT SATALIA
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 WPP 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 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.
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 optimise 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 optimise performance.
- Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation.
MINIMUM QUALIFICATIONS / SKILLS
- Proficiency with the 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 containerisation technologies, such as Docker or Kubernetes.
- Experience with data visualisation tools, such as Tableau or Power BI is a plus.
WE OFFER
- Benefits- enhanced pension, life assurance, income protection, private healthcare;
- Remote working - café, bedroom, beach - wherever works;
- Truly flexible working hours - school pick up, volunteering, gym;
- Generous Leave - holiday plus bank holidays and enhanced family leave;
- Annual bonus- when Satalia does well, we all do well;
- 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;
- Development - focus on bringing the best out of each other;
Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you. 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!
Data Engineer Permanent - UK or Greece or Lithuania employer: Satalia (NPComplete)
Contact Detail:
Satalia (NPComplete) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Permanent - UK or Greece or Lithuania
✨Tip Number 1
Network like a pro! Reach out to current employees at Satalia on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your experience with cloud platforms and big data technologies. Show us how you can tackle real-world problems with your technical expertise!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Satalia values collaboration and inclusivity, so be sure to share examples of how you've worked well in teams and contributed to a positive work environment.
✨Tip Number 4
Apply through our website for the best chance of getting noticed! Tailor your application to reflect the values and culture at Satalia. Show us why you’re not just a fit for the role, but for our community too!
We think you need these skills to ace Data Engineer Permanent - UK or Greece or Lithuania
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your proficiency in Python, SQL, and any cloud platforms you've worked with. We want to see how you can contribute to our innovative projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how it connects to our mission at Satalia. Let us know why you're excited about the opportunity to work on cutting-edge AI tools.
Showcase Relevant Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing real-world applications of your skills, especially those involving data transformations and ETL processes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our community at Satalia!
How to prepare for a job interview at Satalia (NPComplete)
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the cloud platforms mentioned in the job description. Brush up on your knowledge of big data technologies like Hadoop or Spark, as well as containerisation tools like Docker or Kubernetes. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Think about specific projects where you collaborated with data scientists or optimised ETL processes. This will demonstrate your ability to contribute to Satalia's innovative environment.
✨Emphasise Collaboration
Since the role involves working closely with various stakeholders, be ready to discuss your teamwork experiences. Highlight instances where you’ve successfully communicated technical concepts to non-technical team members or how you’ve contributed to a positive team dynamic.
✨Align with Company Values
Familiarise yourself with Satalia’s focus on wellbeing, inclusivity, and innovation. Be prepared to discuss how your personal values align with theirs and how you can contribute to their culture. Showing that you understand and appreciate their mission will set you apart from other candidates.