Data Engineer

None  •  IT & Software  •  Basel, Switzerland

<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Location: Basel, Switzerland<br/><br/></strong><strong>Contract Duration: 3 years, with possible extension<br/><br/></strong><strong>Experience Required: 3+ years. <br/><br/></strong><strong>Industry Experience: Utilities &amp; Energy</strong> <strong>(</strong><em><strong>Energie &amp; Wasserversorgung) or Telecommunications or Banking &amp; Financial Services or Information Technology &amp; Services<br/><br/></strong></em>Role Overview<br/><br/><strong>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.<br/><br/></strong><strong>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.<br/><br/></strong><strong>Strategic Scope:Architects, deploys, and operates end-to-end automated data ingestion channels, distributed big data pipelines, enterprise analytics platforms, and central repository frameworks.<br/><br/></strong><strong>Core Responsibilities<br/><br/></strong><ul><li>Pipeline Ingestion Architecture: Analyze raw structured and unstructured source data formats to construct resilient automated ETL/ELT pipelines and real-time streaming ingestion jobs.</li><li>Analytical Platform Scaling: Design, scale, and optimize scalable corporate Data Lakes, centralized Enterprise Data Warehouses, and modern Delta Lakehouse architectures.</li><li>Governance &amp; Access Enforcements: Enforce data classification standards, programmatic object masking, multi-level role-based access control (RBAC), and automated data quality validation gates.</li><li>Lineage &amp; Metadata Mapping: Author, trace, and maintain technical data dictionary mappings, schema evolution profiles, and unified end-to-end data lineage tracking catalogs.</li><li>Automation Pipeline Infrastructure: Provision and manage isolated environments using code-driven versioning templates, integrating automated monitoring and security scanning for data flows.<br/><br/></li></ul><strong>Required Skills &amp; Experience<br/><br/></strong><ul><li>Minimum of 3 to 5+ years of hands-on experience in Microsoft SQL Server database administration, database engineering, or enterprise database architecture.</li><li>Strong experience with SQL Server platform sizing, deployment modelling, resource planning, memory configuration, storage design and performance-oriented database setup.</li><li>Good knowledge of data modelling, schema design, indexing strategies, constraints, data types, partitioning and relational database design principles.</li><li>Experience designing, implementing and maintaining high-availability and disaster recovery solutions, including failover, mirroring, replication, backup/restore strategies and DR runbooks.</li><li>Strong performance tuning experience, including execution plan analysis, stored procedure optimisation, deadlock resolution, nested view tuning and complex query optimisation.</li><li>Experience planning and executing database migrations, version upgrades, schema changes, patch deployments and production releases with minimal downtime.</li><li>Ability to advise software development teams on database design, query performance, data integrity and scalable application-database interaction patterns.</li><li>Good understanding of database security, access control, operational monitoring, incident troubleshooting and enterprise change management practices.</li><li>Ability to work independently as well as part of a distributed project team.</li><li>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).</li><li>Swiss Compliance : Must hold EU/EFTA nationality or possess an active, valid Swiss permanent residency/work card (C Permit or unrestricted B/G Permit). </li><li>What We Offer:**</li><li> Opportunity to work on challenging projects and contribute to the growth of our company</li><li> Collaborative and dynamic work environment</li><li> Professional development and growth opportunities</li><li> Competitive salary and benefits package<br/><br/></li></ul><strong>Recruitment Process – AI Screening with TARA<br/><br/></strong><ul><li>As part of our recruitment process, candidates may be invited to complete an initial AI-powered screening with TARA, the ALLPS.AI interview agent.</li><li>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.<br/><br/></li></ul><strong>The AI screening interview may include:<br/><br/></strong><ul><li>Questions about your professional background and relevant experience</li><li>Role-specific technical or functional questions</li><li>Questions about your motivation, availability, and communication skills</li><li>The interview can usually be completed online in 15-20 minutes at a time that is convenient for you. Your responses will be reviewed as part of the overall selection process, together with your CV, application details, and any follow-up interviews with the hiring team.<br/><br/></li></ul><strong>Candidate Experience.:<br/><br/></strong><ul><li>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.</li><li>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.<br/><br/></li></ul><strong>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.</strong> </div>

Job Overview
  • Datum der Veröffentlichung

    Jun 20, 2026

  • Kategorie

    IT & Software

  • Job Type

  • Standort

    Basel, Switzerland

  • Arbeitgeber

    Allps

  • Source

    LinkedIn