Data Engineer

Das ist der Job

Location: Basel, Switzerland Contract Duration: 3 years, with possible extension Experience Required: 3+ years.

Darum lohnt es sich

Analytical Platform Scaling: Design, scale, and optimize scalable corporate Data Lakes, centralized Enterprise Data Warehouses, and modern Delta Lakehouse architectures. Ability to advise software development teams on database design, query performance, data integrity and scalable application-database interaction patterns.

Ability to work independently as well as part of a distributed project team.

What We Offer: Opportunity to work on challenging projects and contribute to the growth of our company Collaborative and dynamic work environment Professional development and growth opportunities Competitive salary and benefits package Recruitment Process – AI Screening with TARA As part of our recruitment process, candidates may be invited to complete an initial AI-powered screening with TARA, the ALLPS.AI interview agent.

Industry Experience: Utilities & Energy (Energie & Wasserversorgung) or Telecommunications or Banking & Financial Services or Information Technology & Services Role Overview We are looking for an experienced Data Engineer to support a long-term enterprise project in Basel. This is a 3-year contract role with the possibility of extension.

We are seeking a senior-tier Data Engineer to design, build, and optimize our enterprise-wide data platform. In this role, you will be responsible for breaking down operational data silos and constructing scalable, low-latency ETL/ELT pipelines.

Your mission is to establish a unified data architecture that delivers clean, highly structured, and reliable data streams for downstream business intelligence, advanced analytics, and AI initiatives.

Strategic Scope: Architects, deploys, and operates end-to-end automated data ingestion channels, distributed big data pipelines, enterprise analytics platforms, and central repository frameworks.

Core Responsibilities Pipeline Ingestion Architecture: Analyze raw structured and unstructured source data formats to construct resilient automated ETL/ELT pipelines and real-time streaming ingestion jobs.

Governance & Access Enforcements: Enforce data classification standards, programmatic object masking, multi-level role-based access control (RBAC), and automated data quality validation gates.

Lineage & Metadata Mapping: Author, trace, and maintain technical data dictionary mappings, schema evolution profiles, and unified end-to-end data lineage tracking catalogs.

Automation Pipeline Infrastructure: Provision and manage isolated environments using code-driven versioning templates, integrating automated monitoring and security scanning for data flows.

Required Skills & Experience Minimum of 3 to 5+ years of hands‑on experience in Microsoft SQL Server database administration, database engineering, or enterprise database architecture.

Strong experience with SQL Server platform sizing, deployment modelling, resource planning, memory configuration, storage design and performance-oriented database setup. Good knowledge of data modelling, schema design, indexing strategies, constraints, data types, partitioning and relational database design principles.

Experience designing, implementing and maintaining high‑availability and disaster recovery solutions, including failover, mirroring, replication, backup/restore strategies and DR runbooks.

Strong performance tuning experience, including execution plan analysis, stored procedure optimisation, deadlock resolution, nested view tuning and complex query optimisation. Experience planning and executing database migrations, version upgrades, schema changes, patch deployments and production releases with minimal downtime.

Good understanding of database security, access control, operational monitoring, incident troubleshooting and enterprise change management practices. Languages: Flawless bilingual/native-level business German communications proficiency (C1/C2 level written and spoken) is required.

The candidate must present seamlessly in German during the technical panel interview (Anbieterfachgespräch). Swiss Compliance: Must hold EU/EFTA nationality or possess an active, valid Swiss permanent residency/work card (C Permit or unrestricted B/G Permit).

TARA helps us make the hiring process faster, fairer, and more consistent by asking structured, role-relevant questions based on the job requirements. The interview is designed to understand your experience, skills, motivation, and suitability for the role.

Candidate Experience We use AI to support the recruitment process, but final hiring decisions are made by people. Human recruiters and hiring managers remain involved in reviewing candidates and making selection decisions. We are committed to a transparent, respectful, and fair candidate experience.

Your data will be handled confidentially and in accordance with applicable data protection requirements. If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to our website. We look forward to hearing from you. #J-18808-Ljbffr