We use cookies. You have options. Cookies help us keep the site running smoothly and inform some of our advertising, but if you’d like to make adjustments, you can visit our Cookie Notice page for more information.
We’d like to use cookies on your device. Cookies help us keep the site running smoothly and inform some of our advertising, but how we use them is entirely up to you. Accept our recommended settings or customise them to your wishes.
×

Data Solutions Architect (BI)

Location: Prague, .
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:
  • Provide thought leadership and drive architecture of Enterprise Analytics / BI and Data Science solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure and 3rd party BI platforms
  • Translate business goals and use cases into technical solutions to deliver actionable insights for various business processes, especially in the area of sales, finance, e-commerce, manufacturing/logistics, banking or CRM. Become the technical SPoC for all stakeholders.
  • Set architectural vision and direction across a matrix of teams. Propose a conceptual/logical design for various data components and large volumes of data integrations.
  • Apply effective governance methods for long-term scalability, high availability, fault tolerance, and solution elasticity in alignment with enterprise architecture, security and infrastructure guidelines and standards.
  • Provide supervision and guidance to the implementation team (data engineers, data scientists, BI consultants, ..) to ensure the project is implemented as per business requirements
  • Support pre-sales by proposing a technical solution and effort estimates
  • Maintain an internal framework to ensure consistent & optimal delivery across projects.
  • Ensure full DevOps / DataOps automation of continuous development/test/deployment processes
Qualifications:

Required Skills

  • Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science, IT, etc.)
  • 3+ years experience in design and build of data solutions, a combination of relevant areas:
  • Large-scale Data Lake / Datawarehouse (DWH) solutions
  • Big data pipelines / ETL / APIs (data ingestion, processing, transformation and activation) development, preferably in cloud-based tools/infrastructure
  • Business Intelligence projects, using BI tools like PowerBI, Tableau, Qlick Sense, Keboola, Tibco Spotfire …
  • Data Science (Machine Learning) oriented solutions
  • Understanding data concepts and patterns (Data Lake, Master Data Management, data quality, lambda architectures, streaming processing)
  • Having a good business acumen, especially in sales, finance, e-commerce, manufacturing/logistics, banking or CRM areas
  • Proficient in architecture methodologies and tools like diagraming (draw.io, Sparks EA, Confluence) and standards (Archimate, TOGAF)
  • Experience with full software development lifecycle (CI/CD), including development skills using programming languages like Python/Java/Scala/C++ and relational/NoSQL databases
  • Strong analytical and complex problem-solving skills
  • Strong technical leadership, mentorship and collaboration
  • Strong project management and organizational skills

Preferred Skills

  • Proven experience with Data Lake / Datalakehouse implementations in AWS or Azure, using MS Azure (DataBricks, Data Factory, Data Lake, Cosmos DB, Event Hub, PowerBI, ..)  or AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker, …) cloud services
  • Understanding of Data Science (ML) concepts from both business and technical perspective
  • Experience with ERP solutions like SAP, NetSuite
  • Experience with Marketing, E-commerce and CRM solutions like Salesforce (Marketing Cloud, CDP, Commerce, CRM), Adobe (AEM, Analytics) or Google (GA, BigQuery)
Additional Information:

With us, you will become part of:

 

  • An international, amazing team, where you can gain new/relevant experience
  • A dynamic and supportive environment where you will never happen to fall into a routine
  • Possibility to grow, in accordance with your skills and interests connected with future development
  • Start-up agile atmosphere
  • Friendly international team of creative minds

 

We, obviously, offer even more:

 

  • Brand new offices in Prague and Brno centre with great accessibility
  • Laptop and international tariff even for your private use
  • Cafeteria of benefits to choose from – life insurance, pension insurance, Edenred Cafeteria and more are coming
  • 5 weeks of paid vacation (25 days), 3 Wellness Days
  • Medical advisory system – ulekare.cz
  • Well-being benefit - Soulmio
  • We value self-education and learning new technologies, so we support all our team members in obtaining new certifications, attending learning tutorials and conferences etc.
  • Flexible working hours
  • We have an employee breakfast regularly, we enjoy beer and wine and we create a lot of opportunities to get together for those who enjoy life, not only work.

 

More Information:

Graduate Opportunities: Whether you're still studying, recently graduated or are already working and fancy a career hop, we could have a perfect opportunity for you.
Experienced Hires: Leverage your expertise, challenge the status quo and grow your career at Merkle.

In Our Company