Department Lead Data Engineering (F/M/X) at Acuity Analytics

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Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehouse, Analytics Solutions, Data Modeling, Data Integration, Azure Data Stack, Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Data Lake, Power BI, Databricks, Snowflake, Python, SQL

Industry

IT Services and IT Consulting

Description

Ready to take ownership of the German market and shape the future of digital transformation? **This position is available for residents in Germany Location: Munich, Germany. About us Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. Your profile We are looking for a Department Lead for Data Engineering (F/M/X) with a strong customer focus and: Proven experience in the design and implementation of data warehouse and analytics solutions for medium-sized and enterprise companies Applied knowledge in different data modeling approaches and data integration patterns as well as common architecture documentation techniques Experience in leading development teams and defining development processes Structured approach in requirements engineering with business departments and IT Very good knowledge of the Azure Data Stack -- Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Data Lake and Power BI as well as Azure Fundamentals Skills in using Databricks, Snowflake and/or Spark Knowledge of infrastructure and deployment automation Solid experience in general programming - ideally Python, SQL, C# and PowerShell Data is your passion. You can clearly feel this when you explain the possible uses of modern data technologies to customers or when you design a complex data architecture with and for your colleagues in the team. You have many years of practical experience in working with data analytics, data warehouse and reporting solutions, know the challenges of integrating heterogeneous source systems and always keep the business use case in focus. We prefer to apply agile methods in our way of working. Therefore, it is crucial that you feel comfortable with this approach. Additionally, you show strong leadership skills and actively support the growth and success of your team. You should be able to communicate clearly and effectively in German and English in customer-facing situations, especially with people who may not be as tech-savvy. Good written and oral language skills are therefore of great importance. Being a team player and appreciating sharing knowledge should come naturally to you. It is important that you have the passion and drive to achieve common goals and objectives. Your tasks Technical responsibility for the planning and implementation of analytics solutions on the Microsoft Azure platform Leading the data engineering department (~10 people) Design of data architectures and data models for analytical applications Requirements Engineering and KPI Definition Hands-on project work in the field of data integration and/or reporting/analysis Know-how transfer both internally and to the customer Why join us People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details. If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. For more details about life at Ascent, check out our Life Page here. Ascent is now an Acuity Analytics. Read here.

Responsibilities

The Department Lead for Data Engineering will be technically responsible for planning and implementing analytics solutions on the Microsoft Azure platform while leading a team of approximately 10 people. This role also involves designing data architectures and models for analytical applications and engaging in hands-on project work.