• Write production-level Python and SQL code, with a strong emphasis on complex SQL for data transformation, pipeline logic, and analytical query optimization. • Leverage AI tools and large language models to augment engineering workflows — from code generation and query optimization to automated testing, documentation, and process improvement. • Utilize AWS services such as Lambda, Glue, and Fargate for scalable data operations. • Build and maintain large-scale data pipelines using Apache Airflow. • Oversee the maintenance of Extract, Load, and Transform (ELT) processes using DBT. • Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and high performance. • Identify opportunities to apply AI-driven automation to repetitive or high-volume data engineering tasks, reducing manual effort and improving throughput.

• Conduct 60-minute technical interviews for Senior Data Engineer candidates. • Evaluate candidates' hands-on experience across modern data platforms and cloud-based data architectures. • Assess technical depth, engineering best practices, problem-solving ability, and real-world project experience. • Explore candidates' previous projects through detailed technical discussions and follow-up questions. • Evaluate knowledge of data engineering principles, cloud architecture, scalability, security, governance, and performance optimization. • Assess candidates' understanding of data lakes, lakehouses, data warehouses, and modern analytics platforms. • Assess communication skills and the ability to explain complex technical concepts clearly. • Complete structured interview scorecards and provide hiring recommendations after each interview. • Collaborate with recruiters to ensure consistent evaluation standards. • Contribute to improving interview questions and technical assessment processes when needed.

Role Description We're looking for a new rinder to join our team at rindus, where you will: - Design and evolve scalable event-driven architectures - Define Kafka topic strategies, partitioning models, schema governance, retention concepts, and operational best practices - Build reliable real-time data pipelines using Kafka - Improve data reliability, observability, performance, and cost efficiency across the platform - Drive engineering standards around data modeling, CI/CD, testing, and infrastructure automation - Support the migration from legacy integrations toward modern event-driven and cloud-native architectures - Mentor on and contribute to architectural and technical decisions - Continuously evaluate and introduce technologies that improve scalability and developer productivity - Work in an agile, product-driven team setup - Maintain close contact with IT colleagues to understand the needs and requirements of a high-performance, secure, and stable platform operation Qualifications - Minimum 3 years of professional experience as a Data Engineer or in a similar role - Deep practical knowledge of Kafka and event-driven architecture design - Experience operating Kafka in production - Solid understanding of data modeling, data integration, and scalable processing concepts - Familiarity with cloud platforms and infrastructure automation (AWS, Azure, or GCP) - Beneficial: Experience with Enterprise Service Bus technologies such as Qlik Talend or SAP S4 / BTP - A firm understanding and practical experience in tools and processes to ensure software quality, such as Unit Tests, TDD, and Test Automation - Strong communication and collaboration skills in cross-functional teams - Very good English language proficiency; good German language skills are a plus Requirements - Tech background with a growth mindset - Strong self-motivation and passion for the job - Willingness to learn new technologies Benefits - Being part of a dynamic and highly motivated international multicultural team of skilled professionals - Competitive compensation package (restaurants, transport, and childcare) - Flexible working model: remote - 23 holiday days - Flexible schedules with core working hours - DKV private health insurance from day 1 - Gym Sponsorship - English and German language classes - A young and ambitious team that knows when to work and when to have fun (Pizza day, Summer event, Málaga Tech Games, etc.)

Role Description As part of our continued growth, we are looking for an experienced Senior Data Engineer to join us as a Technical Interviewer. In this role, you will work closely with our recruitment team to assess candidates applying for Senior Data Engineering positions. You will be responsible for: - Conducting technical interviews - Evaluating both practical and architectural knowledge - Providing clear hiring recommendations based on a structured assessment This opportunity is ideal for someone who enjoys interviewing, has strong communication skills, and wants flexible, interview-based work alongside their current role or consulting engagements. Qualifications - 8+ years of commercial experience as a Data Engineer - Strong hands-on experience building and supporting data solutions on at least one major cloud platform (Azure, AWS, or GCP) - Strong understanding of modern data platform architectures, including Data Lakes, Lakehouses, Data Warehouses, and Analytics Platforms - Extensive experience designing, building, and maintaining ETL/ELT pipelines - Strong SQL skills and experience with data modelling, including facts, dimensions, star schemas, and semantic layers - Experience with Python for data processing, automation, and orchestration - Experience with distributed data processing technologies such as Apache Spark or equivalent frameworks - Experience implementing secure authentication, authorization, and data security patterns within cloud environments - Ability to evaluate both implementation details and high-level solution architecture - Excellent spoken English - Ability to conduct interviews professionally and provide objective candidate assessments Requirements - Previous experience conducting technical interviews - Cloud certifications from Microsoft Azure, AWS, or Google Cloud Platform - Experience with modern data technologies such as Databricks, Snowflake, BigQuery, Redshift, Synapse Analytics, or equivalent platforms - Experience with orchestration and transformation tools such as Airflow, dbt, Azure Data Factory, AWS Glue, or similar technologies - Experience with CI/CD practices and Infrastructure as Code - Experience working in enterprise or highly regulated environments - Tech Lead, Architect, or mentoring experience - Experience designing and delivering data platforms across multiple cloud providers Benefits - Flexible engagement models - Opportunity to work alongside current roles or consulting engagements Company Description At Sedona, we thrive on solving complex challenges. By blending design, engineering, and analytics, we help organizations harness the power of technology to create innovative digital experiences and shape their future.