Reads like an Analytics Engineer role: dbt models and clean tables.
Cologne, Germany
Live, first seen by us 34 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Data is at the heart of every decision we make at Redcare Pharmacy.
Working within our Data Analytics organisation, you'll partner closely with Product Managers, business stakeholders and technical teams to transform complex business challenges into scalable data solutions.
Design and develop scalable data models using DBT, SQL and Databricks
Build Power BI dashboards and semantic models for decision-making
Translate business requirements into technical solutions with Product Managers
Contribute to the cloud migration of the analytics platform
Mentor colleagues and run training sessions for business users
Data is at the heart of every decision we make at Redcare Pharmacy. As a Senior Data Analyst, you'll play a key role in helping our product and business teams unlock the full value of data while supporting one of our largest transformation programmes—our migration from an on-premise data platform to a modern cloud-based analytics ecosystem.
Working within our Data Analytics organisation, you'll partner closely with Product Managers, business stakeholders and technical teams to transform complex business challenges into scalable data solutions. Whether you join our Global Sales or Operations domain, you'll take ownership of end-to-end analytics initiatives, influence technical direction, and help shape the future of self-service analytics across the business.
Lead the design and development of scalable data models using DBT, SQL and Databricks
Develop impactful Power BI dashboards and semantic models
Partner closely with Product Managers and business stakeholders to translate complex business requirements into robust technical solutions
Contribute to Redcare's cloud migration programme
mentoring colleagues, supporting business users through training sessions
5+ years of experience as a Data Analyst, Analytics Engineer, or in a similar role, with strong expertise in SQL, DBT, Databricks, and Power BI within enterprise environments.
As a Senior Data Analyst, you enjoy coaching and mentoring junior colleagues, sharing best practices, and helping to upskill the wider team while driving technical excellence. Experience with Microsoft Fabric, Azure, Python, A/B testing, or cloud migration projects is a strong advantage.
- 5+ years of experience as a Data Analyst, Analytics Engineer, or in a similar role, with strong expertise in SQL, DBT, Databricks, and Power BI within enterprise environments. - A Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Information Systems, or another related quantitative field. - You confidently engage with technical and non-technical stakeholders, translating complex business challenges into scalable data solutions and communicating technical concepts in a clear and accessible way.
Databricks • DBT • SQL • Power BI • Microsoft Fabric • Azure Cloud • Python (nice to have) • AI-assisted development • Tabular Models • Power BI Service
In the employer’s words · Read in context
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Day 34
Similar jobs usually come down between day 6 and day 48.
Well past Redcare Pharmacy’s usual: its jobs come down by about day 11.
From 1,462 similar postings that came down, and 52 of Redcare Pharmacy’s. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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About the tech stack: Databricks • DBT • SQL • Power BI • Microsoft Fabric • Azure Cloud • Python (nice to have) • AI-assisted development • Tabular Models • Power BI Service About your tasks:
- You confidently engage with technical and non-technical stakeholders, translating complex business challenges into scalable data solutions and communicating technical concepts in a clear and accessible way. - As a Senior Data Analyst, you enjoy coaching and mentoring junior colleagues, sharing best practices, and helping to upskill the wider team while driving technical excellence. Experience with Microsoft Fabric, Azure, Python, A/B testing, or cloud migration projects is a strong advantage. Additional Information
About your tasks: - Lead the design and development of scalable data models using DBT, SQL and Databricks, enabling reliable, high-quality analytics across multiple business domains. - Partner closely with Product Managers and business stakeholders to translate complex business requirements into robust technical solutions, driving backlog prioritisation and delivering measurable business value.
About you: - 5+ years of experience as a Data Analyst, Analytics Engineer, or in a similar role, with strong expertise in SQL, DBT, Databricks, and Power BI within enterprise environments. - A Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Information Systems, or another related quantitative field.
- Partner closely with Product Managers and business stakeholders to translate complex business requirements into robust technical solutions, driving backlog prioritisation and delivering measurable business value. - Develop impactful Power BI dashboards and semantic models, creating intuitive reporting solutions that support data-driven decision-making across the organisation. - Contribute to Redcare's cloud migration programme, helping modernise our analytics platform while improving the performance, scalability and efficiency of existing data products.
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About the tech stack:
Databricks • DBT • SQL • Power BI • Microsoft Fabric • Azure Cloud • Python (nice to have) • AI-assisted development • Tabular Models • Power BI Service
About your tasks:
About you:
About your benefits:
In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits:
About Redcare Pharmacy:
As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health.” If you’re seeking a career that offers purpose and aligns with your values, join us and start your #Redcareer today.
About the role:
Data is at the heart of every decision we make at Redcare Pharmacy. As a Senior Data Analyst, you'll play a key role in helping our product and business teams unlock the full value of data while supporting one of our largest transformation programmes—our migration from an on-premise data platform to a modern cloud-based analytics ecosystem.
Working within our Data Analytics organisation, you'll partner closely with Product Managers, business stakeholders and technical teams to transform complex business challenges into scalable data solutions. Whether you join our Global Sales or Operations domain, you'll take ownership of end-to-end analytics initiatives, influence technical direction, and help shape the future of self-service analytics across the business.
Beyond building data products, you'll act as a technical leader within the team—sharing your expertise, mentoring colleagues, and driving best practices in data modelling, reporting and AI-enabled analytics.
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Cologne, Germany
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