Senior Data Engineer

Senior Full Stack Engineer, Data Platform - Experimentation

We are looking for an experienced Senior Full Stack Software Engineer to join ou...

Location

Germany , Berlin

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

A full-stack engineer with 5+ years of tech experience, including 2+ years in frontend/full-stack roles
Strong Front-end skills: JavaScript/TypeScript, CSS, and HTML
Solid Back-end understanding: experience building APIs and using relational databases (SQL)
Excellent communication and above-average soft skills for collaborating with cross-functional teams and talking to users
A strong UX mindset to ensure simple, self-explanatory design and intuitive interfaces
Proactive problem-solving with a product mindset, focused on value and driving impact

Job Responsibility

Take full ownership of the UI/UX of the AB Platform, including redesign of the existing tools and adding AI capabilities
Contribute directly to improving key features, focusing on performance and user experience
Collaborate with the team to build and optimise the Experimentation Platform used by hundreds of internal users
Work closely with product teams and users to ensure the platform is intuitive and easy to use for non-technical users, including conducting user interviews
Help maintain and evolve high-traffic (200k RPS) back-end services

What we offer

Get a rewarding salary and stock option package that lets you focus on doing your best work

At ANS, the Senior Data Engineer plays a key role in delivering robust, scalable...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
Strong knowledge of Python and SQL
Experience in using metadata frameworks in data engineering
Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
Understanding of Azure networking and security in relation to the data platform
Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
Experience of lakehouse architecture, data warehousing principles, and data modelling
Familiarity with Microsoft Purview in a data platform context
Base knowledge of Azure foundry

Job Responsibility

Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources
Support Data Architects and Cloud Engineers by implementing solutions based on provided designs and offering feedback where needed
Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
Mentor Data engineers and support their development through guidance and task distribution
Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
Document implemented solutions clearly and accurately for internal and customer use
Troubleshoot and resolve issues across subscriptions and environments
Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs and engineers to support collaboration and clarify technical requirements
Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days

What we offer

25 days’ holiday, plus you can buy up to 5 more days
Birthday off
An extra celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance
Flexible working and work from anywhere for up to 30 days per year (some exceptions)
Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
Company social events

Fulltime

Senior Platform Engineer

As a Senior Platform Engineer at Aignostics, you work hand in hand with our team...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Proven experience: 5+ years in platform engineering, with a proven track record in managing complex, cloud-native infrastructure
Technical expert: work with Kubernetes, Docker, Terraform, and Cloud Environments, with a deep understanding of CI/CD processes and tools
Excellent coder: automate with strong programming and scripting abilities, preferably in Go/Python and bash
Network architect: get our services flying by leveraging technologies like Virtual Private Clouds, DNS, Reverse Proxies and Firewalls
Outstanding communicator: ability to explain complex technical concepts, drive decisions, and collaborate across teams (fluent in English, German is a plus)
Self-driven learner: stays current with technology trends, evaluates new solutions (including AI), and grows with our challenges
Live the Devops Culture: Educating our developers on core principles, implementing collaborative processes, and providing the necessary tools and frameworks that enable them to do so

Job Responsibility

Introduce, implement and own architectural solutions of our Kubernetes clusters, internal services, and cloud-based infrastructure to improve our developer’s experience
Identify & Automate workflows and processes leveraging from event driven pipelines like Gitlab CICD or Argo Workflows
Introduce and drive the security of our applications and data by implementing state of the art security concepts in Kubernetes and cloud environments
Work closely with the engineering and data science teams to bring our products and AI model training to its excellence
Propose and drive the adoption of best practices in infrastructure management, scalability, and security

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
Enjoy your well-deserved time off within our 30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment