Senior Data Engineer; m​/f​/d

SYNTIVIS AG:
Unlocking Potential Through Data and Innovation

At SYNTIVIS AG, we see ourselves as more than a data engineering company—we’re a collective of thinkers, innovators, and problem-solvers driven by a shared belief:

“The future belongs to those who believe in their dreams and take bold steps forward.”

For over 25 years, we’ve been at the forefront of data engineering
, analytics
, and project management
, creating solutions that not only meet the needs of today but also anticipate the challenges of tomorrow. Our work transforms raw data into actionable insights, enabling smarter decisions and fostering innovation across industries.

We believe in building strong partnerships
, cultivating trust
, and approaching every challenge with joy and enthusiasm
.

Our commitment to responsibility drives us to deliver impactful, scalable solutions while respecting the environment and the communities we work with.

If you’re passionate about using data to create meaningful change and thrive in a collaborative, dynamic environment, we invite you to join our global team
. With the flexibility of remote work and a local contract tailored to your needs, SYNTIVIS provides the tools, support, and opportunities to help you grow and excel.

We are seeking a talented Senior Data Engineer to join our team. In this role, you will leverage your expertise in data pipelines
, programmatic SQL
, and cloud technologies to design, build, and optimize scalable solutions. You will play a critical role in developing and managing robust data systems, with a focus on hands‑on development of ETL/ELT processes
, ensuring the seamless movement and transformation of data.

• Design, develop, and maintain scalable data pipelines for ETL/ELT processes in a Dev Ops environment
  .
• Create and optimize programmatic SQL logic, including stored procedures
  , functions
  , triggers
  , and database utilities using T‑SQL
  , PL/SQL
  , and PL/pgSQL
  .
• Enhance database performance by managing partitions
  , fine‑tuning indexes
  , and analyzing execution plans to improve query efficiency.
• Build and optimize cloud‑native data solutions using Azure technologies
  , such as Data Factory
  , Synapse
  , Databricks
  , Fabric work spaces
  , and blob storage
  .
• Work with various data formats, including relational models
  , No
  
  SQL
  , and flat files (e.g., CSV, JSON, Parquet), ensuring compatibility and integrity.
• Collaborate with clients to understand business requirements and implement best‑practice solutions
  , occasionally serving as a solution architect.
• Develop and implement data transformations for analytical and visualization tools, such as Power BI
  .
• Explore and apply real‑time data processing tools
  , such as Apache Kafka or Spark Streaming
  , when needed.
• Ensure data governance by implementing secure and compliant data handling processes, with adherence to standards like GDPR
  .

• Strong proficiency in SQL programming
  , including hands‑on experience with T‑SQL
  , PL/SQL
  , and PL/pgSQL
  , for building and maintaining stored procedures, triggers, and advanced database logic.
• Expertise in ETL/ELT pipeline development
  , with a focus on data ingestion
  , transformation
  , and integration
  .
• Advanced knowledge of database optimization techniques, such as partition management
  , indexing
  , and execution plan analysis
  .
• Proficiency in Azure technologies
  , including Data Factory
  , Synapse
  , Databricks
  , and Fabric work spaces
  .
• Familiarity with other cloud platforms like AWS or GCP is a plus.
• Experience working with structured data formats (
  relational databases
  ) and unstructured data formats (
  flat files
  , No
  
  SQL).
• Analytical mindset with a focus on data quality
  , data modeling
  , and designing optimized solutions.
• Exposure to real‑time data processing tools (
  Apache Kafka
  , Spark Streaming
  ) is advantageous.
• Strong problem‑solving skills and attention to detail, with the ability to work independently or in a team setting.
• Fluency in English with excellent communication skills.
• Competitive salary and comprehensive benefits like performance bonus
  , private healthcare insurance
  , and up to 30 days of recreational vacation
  .
• Flexible remote‑first position with local working contracts that comply with…