Senior Data Engineer

Company Description

We Dream. We Do. We Deliver.

As a full-service, data-driven customer experience transformation, we partner with Top 500 companies in the DACH region and in Eastern Europe. Originally from Switzerland, Merkle DACH was created out of a merger Namics and Isobar - two leading full-service digital agencies.

Our 1200+ digital enthusiasts are innovating the way brands are built, through providing expertise in Digital Transformation strategy, MarTech platforms, Creativity, UX, CRM, Data, Commerce, Mobile, Social Media, Intranet and CMS. We are part of the global Merkle brand, the largest brand within the dentsu group, who shares with us a network of over 66,000 passionate individuals in 146 countries.

Job Description

• Use CI/CD tools to facilitate deployment of code to stage and production environments.
• Participate on architecture of end-to-end solutions for our customers on AWS, Azure and other cloud platforms.
• Maintain GIT repositories using Gitflow framework.
• Collaborate on feature deliverables to meet milestones and quality expectations.
• Communicate with the stakeholders, vendors and technology subject matter experts.
• Document implemented logic in a structured manner using Confluence; plan your activities using Agile methodology in Jira.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs, like optimizing existing data delivery, re-designing infrastructure for greater scalability, etc.

Qualifications

• Experience in building and productionizing public cloud infrastructure.
• Experience using GitHub, Bitbucket or other code repository solution.
• Experience in setting up and using CI/CD automation tools like like Github Actions, Azure DevOps or AWS CodePipeline.
• Experience with infrastructure as a code frameworks like Terraform, AWS CloudFormation, ARM templates.
• Understanding of containerization concepts and container orchestration services like Docker, Fargate, Kubernetes.
• Experience with scripting languages like Python, Bash, PowerShell etc.
• Strong analytic skills related to working with structured and unstructured datasets.
• Person who is precise, well organized, has good communication skill, can adapt to changing circumstances and is not afraid of responsibility for his / her work will do great in this role.

Preferred Skills

• Understanding data concepts and patterns of big data, data lake, lambda architecture, stream processing, DWH, BI & reporting.
• Experience with data pipelpipeline/workflowgement tools like dbt, AWS Step Functions, AWS Glue, Azure Data Factory, Airfland ow.
• Knowledge of SQL

Additional Information

Benefits and perks:

• Cutting Edge Technology & Latest IT tools 
• Software-house environment 
• Agile and Flexible working hours 
• Hybrid work system (remote friendly) 
• Digital nomad policy 
• Focus on career development 
• Health insurance (also included for the household) 
• Mental health support 
• Volunteering experiences and sustainable mindset 
• 25 vacation days + 3 wellness days per year 
• Beers (after 6pm), foosball, and ping-pong! #workhardplayhard 
• Free breakfast every second Monday of the month 
• Employee discounts 
• Team & Company events 🎉

Inclusion & Diversity 

We value the strength diversity brings to our business and are working hard to build a more inclusive workplace through partnerships with Stonewall, Business Disability Forum and Business in the Community’s race and gender equality campaigns. We are happy to discuss all flexible and agile approaches to working for all our roles – we can’t promise we will be able to offer you everything you want or need but we do promise to discuss it with you openly and honestly. 

If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you.