drjobs Senior Analytics Engineer DWH Engineer 100 remote-friendly within Spain Poland

Senior Analytics Engineer DWH Engineer 100 remote-friendly within Spain Poland

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1 Vacancy
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Job Location drjobs

Barcelona - Spain

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The Data Platform is a central piece of the data operations at Docplanner. We are more than a central hub for analytical data across the company: we are responsible for ensuring that every team has the data and tools they need. We serve teams across the whole company we collaborate to bring the best insights to life together we bring software development standards to the analytics world. 

We are here because we know for a fact that data is crucial to making the healthcare experience more humane.

The Data Platform aims to provide all teams with selfservice flexible and scalable solutions for their data needs. The platform is being developed to provide easy accessa  seamless experience and allow for autonomous curation modeling and reprocessing of data.

Role

We seek a dedicated individual to join our company as the Analytics Engineer for the Analytics Engineering Team a group dedicated to data modeling DWH engineering and web tracking. The Teams mission is to provide both platformasaproduct solutions for internal customers but also to serve as an enabler and consultant for their autonomous work.

On the side of data modeling the Team is accountable for the DWH as an internal customerfacing product as a whole including overhauling the data model with the newest approach of Data Vault with dbt designing & building data domains managing Redshift cluster and more.

The web tracking accountability is to ensure accurate reliable and consistent collection of data across our diverse platforms and products. The Team owns tracking strategies including tooling and implementation across our products.

Your role will be essential also in the context of Data Governance initiatives: you will focus on designing and enforcing data layering and decentralized ownership ensuring data integrity to support our decisionmaking processes.

What you will be doing

Data Platform as a product

You will build a platform for data analytics teams to create and maintain their data models according to best practices and stateoftheart technologies in detail:

  • Build automate and assure the quality of data products in cooperation with analysts and data engineers.

  • Own and improve the DWH data model making it more accessible and easier to use.

  • Own and maintain the DWH cluster.

  • Apply expertise in dbt data domainisation and Data Vault.

Enabling data analytics in the organization

Acting as a product owner and consultant to data analytics teams you will ensure the platforms success through proper adoption engagement and result meaning:

  • Collaborate with analytics teams on building data models for different business areas.

  • Assure technical guidelines and a big picture view.

  • Support teams to own their data models and gain autonomy.

  • Advocate for best practices in data engineering and analytics ex. by leading workshops and training.

  • Align data initiatives with business goals.

  • Proactively communicate with internal stakeholders.


Qualifications :

What will help you thrive

  • Extensional experience connected with data warehousing and/or database administration.

  • Expert in SQL particularly in query optimization and database design.

  • Strong data modeling skills (you can name at least five differences between Kimball and Inmon :

  • Strong project management skills and experience managing projects endtoend ensuring timely delivery and alignment with business goals.

  • Excellent communication and interpersonal skills.

  • Growth mindset: nobody ticks all those boxes above but a willingness to learn is strongly valued here.

Which technical skills are required for this role

  • Handson experience with dbt in largescale deployments.

  • Deep knowledge of BI data modeling techniques and trends (e.g. Data Vault Kimball Data Mesh).

  • Strong skills in Python and SQL following good coding practices.

  • Handson experience with orchestrators like Airflow or Dagster.

  • Ability to work collaboratively and adopt code versioning best practices (git).

Which skills are bonus points

  • Highlevel knowledge of Spark and Scala language are nice to have. 

  • Handson experience with cloud technologies and data tools (e.g.: AWS ecosystem BI data visualization tools).

  • Infrastructure knowledge: Docker Terraform Kubernetes Helm.


Additional Information :

Lets talk money

 

True flexibility and worklife balance

 

Health comes first 

 

Keep growing with us

 

We promote and embrace equal opportunities in our hiring process and also every day at work. When you apply for our roles you receive equal treatment regardless of age disabilities gender reassignment marital or civil partner status pregnancy or parental status race colour nationality ethnic or national origin religion or belief sex sexual orientation or any other dimension of human difference.  If you require additional support in your recruitment process we kindly encourage you to let us know. Behind those words youre reading theres a person (hi! who already helped a candidate by adapting the interviews and now were lucky to have this person with us. So even if youve never asked for it before may this serve as a sign that now you can do so. We can only truly be equal if we adapt to each other.

We believe all humans in all their beautiful diversity should have equal rights dignity and respect. Period. Mariusz Gralewski  CEO


Remote Work :

Yes


Employment Type :

Fulltime

Employment Type

Remote

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