data engineer

Adsquare

<div>
 
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At Adsquare, our mission is driven by our core focus:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Passion
 
 &ndash; Solving complex challenges with great people, tech, and data.
 </li>
 <li>
 
 Niche
 
 &ndash; Location Intelligence for Programmatic Advertisers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Our core values are integral to everything we do:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Drive
 
 : We turn ambition into action to deliver valuable outcomes.
 </li>
 <li>
 
 Resilience
 
 : We adapt, persevere, and grow stronger.
 </li>
 <li>
 
 No BS
 
 : We value honesty, transparency, and clear communication.
 </li>
 <li>
 
 Humble
 
 : We choose modesty over vanity and let results speak for themselves.
 </li>
 <li>
 
 Moral Compass
 
 : We do the right thing with fairness, integrity, and respect.
 </li>
 </ul>
 
 
 
 
 
 
 
 We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Data Pipeline Ownership
 
 : Take full accountability for the pipeline lifecycle&mdash;from raw data ingestion to transformation and external delivery&mdash;according to defined SLAs, time, and budget.
 </li>
 <li>
 
 Architect Scalable Solutions
 
 : Design and build robust data architectures required to process and transfer terabytes of data.
 </li>
 <li>
 
 Pipeline Optimization
 
 : Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
 </li>
 <li>
 
 Engineering Rigor
 
 : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
 </li>
 <li>
 
 Data Monitoring
 
 : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
 </li>
 <li>
 
 Collaboration &amp; Mentorship
 
 : Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 
 We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.
 
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Programming Mastery
 
 : Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
 </li>
 <li>
 
 Big Data &amp; PySpark
 
 : Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
 </li>
 <li>
 
 Advanced Optimization Skills
 
 : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
 </li>
 <li>
 
 Database &amp; Storage Architecture
 
 : Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).
 </li>
 <li>
 
 Cloud Native (AWS)
 
 : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
 </li>
 <li>
 
 Infrastructure &amp; Orchestration
 
 : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
 </li>
 <li>
 
 Engineering Fundamentals
 
 : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
 </li>
 <li>
 
 AI tools
 
 : Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Compiled Languages
 
 : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
 </li>
 <li>
 
 Geospatial Data
 
 : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
 </li>
 <li>
 
 Data Formats
 
 : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
 </li>
 <li>
 
 Streaming Technologies
 
 : Familiarity with Kafka and Flink.
 </li>
 <li>
 
 Backend Context
 
 : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 55,000 - 65,000 euros per year
 
 
 
 
 
 On top of a competitive package, we offer:
 
 
 
 
 
 
 
 <ul>
 <li>
 Hybrid work model + remote work from anywhere worldwide up to 3 months/year
 </li>
 <li>
 Individual yearly learning budget of 1,200&euro;
 </li>
 <li>
 30 vacation days per year
 </li>
 <li>
 Urban Sports Club membership
 </li>
 <li>
 Company pension scheme
 </li>
 <li>
 Regular team and company events
 </li>
 <li>
 Latest hardware and all tools you need to thrive
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 We are committed to diversity and inclusivity.
 
 
 
 
 
 
 
 
 Apply now!
 
 
 
 
</div>

Data Engineer (m/f/d)

Enpal

<div>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. 
 
About the Role
Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. You'll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and you'll spend as much time unblocking and enabling others as you do writing code.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.</li><li>
Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.</li><li>
Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.</li><li>
Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.</li><li>
Support data privacy and compliance requirements, including metadata-driven PII handling.</li><li>
Build observability and testing into the platform so failures are caught before they reach domain teams.</li><li>
Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3><ul><li>
Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.</li><li>
Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).</li><li>
Solid Snowflake knowledge: RBAC, performance, and warehouse management.</li><li>
Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).</li><li>
Comfort with IaC (Terraform) and GitOps (ArgoCD).</li><li>
Familiarity with modern ingestion frameworks (dlt or similar).</li><li>
Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience building internal developer platforms or paved-road tooling.</li><li>
Knowledge of data contracts and federated data governance.</li><li>
GDPR/DSGVO-aware data handling experience.</li><li>
Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
</li></ul><h3 class="jobSectionHeader">What we offer</h3><ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</li><li>
Grown-up business &amp; startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</li></ul>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</div>

Data Engineer (f/m/x)

CompuGroup Medical

<div>Als f&uuml;hrendes Unternehmen im Bereich Softwarel&ouml;sungen f&uuml;r das Gesundheitswesen sind wir in 19 L&auml;ndern t&auml;tig und besch&auml;ftigen &uuml;ber 9.000 engagierte Mitarbeitende. Du wirst in einem dynamischen und innovativen Umfeld arbeiten, das voller M&ouml;glichkeiten steckt. Mit Deinem Einsatz und Deiner Leidenschaft hast Du die Gelegenheit, einen nachhaltigen Unterschied zu machen.
CGM Leverages AI: Wir suchen Menschen, die die Kraft von KI im E-Health-Umfeld sp&uuml;ren, den Wandel mitgestalten wollen und mit neugieriger Leidenschaft erkennen, wie Technologie Gesundheit smarter, einfacher und besser machen kann.
Gemeinsam gestalten wir das Gesundheitssystem der Zukunft. Werde Teil unserer Mission und mache den Unterschied &ndash; f&uuml;r eine Welt, in der Wissen Leben rettet!
Dein Beitrag:
<ul><li>Du designst und betreibst die Data-Pipelines, die ifap DataServices antreiben &ndash; Du verwandelst kuratierte Arzneimittel-, Verordnungs- und klinische Referenzdaten in verl&auml;ssliche, aktuelle und performant abfragbare Datens&auml;tze f&uuml;r unsere SaaS-Produkte und Partner.</li><li>
Du baust und wartest robuste ETL/ELT-Pipelines in Python mit FastAPI-Services sowie Apache-Spark-/Scala-Workloads, immer mit Fokus auf Datenqualit&auml;t, Lineage, Observability und Kostenoptimierung.</li><li>
Du arbeitest eng mit Product Management, AI Engineers und Architekt:innen zusammen und entwirfst Data Products, die neue AI-native Features und Partnerintegrationen erm&ouml;glichen.</li><li>
Du nutzt Claude Code und AI-Agents, um die Entwicklung von Pipelines, Schema-Migrationen und Analysen deutlich zu beschleunigen, und baust gemeinsam mit dem Team wiederverwendbare Data-Engineering-Skills und Workflows auf.</li><li>
Du bringst echten Engineering-Anspruch in die Datenwelt: automatisierte Tests, CI/CD, Observability, stringentes Schemanagement und klare Ownership &uuml;ber Deine Pipelines und Services.</li></ul>
Das bringst Du mit:
<ul><li>Mehrj&auml;hrige Senior-Erfahrung im Data Engineering mit Python und einem klar nachweisbaren Track Record im Betrieb produktiver Datenpipelines in regulierten oder gesch&auml;ftskritischen Umgebungen.</li><li>
Abgeschlossenes Studium in Informatik, Data Engineering, Mathematik, Physik oder einem vergleichbaren technischen Studiengang mit sehr guten Leistungen.</li><li>
Sehr gute SQL-Skills sowie Erfahrung mit mindestens einem modernen Data Stack (z. B. Airflow, dbt, Spark/PySpark, Kafka) und Cloud-Datenplattformen &ndash; idealerweise AWS &ndash; inklusive Infrastructure-as-Code mit Terraform und GitOps/ArgoCD; sicherer Umgang mit Versionsverwaltung, Testing und Monitoring.</li><li>
Nachweislich effektiver Einsatz von AI im Software- und Data-Engineering, idealerweise mit Claude Code oder &auml;hnlichen agentischen Tools (Agents, Skills, Workflows) sowie Erfahrung im Design von AI-Pipelines, Harnesses und Context Engineering.</li><li>
Flie&szlig;endes Deutsch und flie&szlig;endes Englisch in Wort und Schrift, ausgepr&auml;gte Probleml&ouml;sungsst&auml;rke, Innovationsfreude, hohe Proaktivit&auml;t und ein unternehmerisches Mindset, das sich klar mit unserem Healthcare-Purpose und der Verantwortung f&uuml;r Patientensicherheit deckt.</li></ul>
Das kannst Du von uns erwarten:
<ul><li>Mobile Work: Arbeite flexibel an zwei Tagen pro Woche mobil und an 3 Tagen vor Ort.</li><li>
Attraktive Standorte: An unseren Standorten erwarten Dich neben voll ausgestatteten Arbeitspl&auml;tzen auch regelm&auml;&szlig;ige Events wie Sommerfeste und Weihnachtsfeiern.</li><li>
Entwicklung: Unsere Inhouse-Academy und unser Portfolio aus externen Kooperationspartnern unterst&uuml;tzen Dich in Deiner Weiterentwicklung.</li><li>
Gesundheit: Gesundheit ist f&uuml;r uns ein hohes Gut. In der hauseigenen Kantine gibt es jeden Tag eine Auswahl an leckeren und gesunden Gerichten und in unserem voll ausgestatteten Fitnessstudio hei&szlig;en wir Dich in w&ouml;chentlichen Kursen gerne willkommen.</li><li>
Mehr geht immer: Der Kindergarten auf unserem CGM-Campus in Koblenz unterst&uuml;tzt unsere Mitarbeitenden dabei, ihren Arbeitsalltag noch flexibler zu gestalten. Wir halten au&szlig;erdem Corporate Benefits, die M&ouml;glichkeit eines Jobrads, BAV u. v. m. f&uuml;r Dich bereit.</li></ul>
Vielfalt ist Teil von CGM! Wir freuen uns unabh&auml;ngig von Behinderung, Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion, Alter sowie sexueller Orientierung und Identit&auml;t auf Deine Bewerbung.
&Uuml;berzeugt? Bewirb Dich jetzt online mit Deinen aussagekr&auml;ftigen Bewerbungsunterlagen (inkl. Deiner Zeugnisse, Gehaltsvorstellung und n&auml;chstm&ouml;glichem Eintrittstermin).</div>

Senior Data Engineer (m/w/d)

Delivery Hero

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are on the lookout for a Data Engineer ll to join the Program team, known as the Catalyst for Agentic Transformation within Tech Foundations on our journey to always deliver amazing experiences.
As a member of the Tech Foundation Team, you&rsquo;ll support Delivery Hero&rsquo;s rapid innovation and growth. You&rsquo;ll work on foundational systems that enable faster feature development, security, and reliability across our global engineering community. Every enhancement you make will contribute to our teams' ability to build, scale, and deliver quality features&mdash;ultimately impacting millions of users worldwide.
The Program Execution team is the centralized hub that connects our specialized agentic efforts with the broader organization. While engineering teams build the systems, this team ensures they are integrated, governed, and adopted group-wide. Their mission is to orchestrate a unified strategy, moving Delivery Hero from fragmented AI experimentation to a cohesive, high-velocity AI-native ecosystem.
This team is the essential glue between technical innovation and business impact. By centralizing vendor relations and compliance, they ensure that a breakthrough in one area (like automated coding) or a win in another (like non-tech process automation) becomes a standard for all.<div>
As the team that ties everything together, they own the Northstar of 100% daily AI-usage across both engineering and enterprise functions. They bridge the gap between having a tool and using a tool by turning technical capabilities into daily habits for everyone at delivery hero. 
What you'll do- 
<ul><li>Impact Analysis &amp; Reporting: Setting up a group-wide framework to track if our AI investment is working. Analyzing productivity data across all focus areas and turning it into clear ROI stories for leadership.</li><li>Advocacy &amp; Evangelism: Acting as the voice of the program. Running roadshows and workshops to get both tech and non-tech teams excited, while addressing cultural concerns regarding how AI changes the nature of work.</li><li>Upskilling &amp; Training: Building the curriculum with learning and development teams to help the entire workforce move past the initial learning curve. Creating train-the-trainer programs to empower local AI champions in every department.</li><li>Cross-Brand Orchestration: Connecting decentralized brands and verticals to ensure knowledge sharing and a unified AI experience across the entire Delivery Hero group.</li><li>Unstructured Root Cause Analysis (RCA) Engines: Architectural design and implementation of automated pipelines capable of parsing highly unstructured data&mdash;such as GitHub pull requests, raw code diffs, CI/CD failure logs, and natural language developer comments&mdash;to extract semantic patterns and group core operational bottlenecks.</li></ul></div> 
Qualifications<div> 
Analytical &amp; Technical Expertise 
<ul><li>Data Storytelling: The ability to take raw usage data and turn it into a compelling narrative about productivity and business value.</li><li>Metric Definition: Understanding how AI influences business processes and delivery cycles, and defining the KPIs to prove it.</li></ul>
Unstructured Data Pipelines: Proven experience building data pipelines that ingest and transform unstructured log formats, text-based metadata, and system artifacts into structured, queryable data. 
 
Advocacy &amp; Soft Skills</div><ul><li>
High-Energy Evangelism: A genuine passion for AI that is contagious. You must be comfortable presenting to large groups&mdash;from engineers to business leads&mdash;and handling skepticism with empathy.</li><li>
Change Management: Experience helping large organizations adopt new habits. You understand that cultural shifts are the hardest part of any technological rollout.</li></ul><div>
Strategic Mindset 
<ul><li>Problem-Solving: The ability to navigate administrative or technical blockers (legal, security, or regional hurdles) to keep the program's momentum high.</li><li>Collaborative Diplomacy: Building strong relationships across different brands to drive a central vision without stepping on local autonomy.</li></ul></div> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li><li>
Wondering what relocating to Berlin is like? In this article, we&rsquo;ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.</li><li>
Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.</li></ul> 
Ready to join our team? If you&rsquo;re excited to grow, collaborate and be part of the world&rsquo;s leading delivery platform, we&rsquo;d love to hear from you. Apply today!<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Data Engineer ll, Program Team (Tech Foundations)

Bertrandt

<div><div><div><div><div>12277, Berlin - Marienfelde, Deutschland
</div></div></div></div><div><div>Mit Benutzerkonto bewerben
</div></div><div><div><div><div><h3 class="jobSectionHeader">Wir sind Bertrandt.
</h3>Ein eigenst&auml;ndiger und internationaler Engineering Dienstleister mit langj&auml;hriger Expertise. Mit branchen&uuml;bergreifendem Know-how und einem ganzheitlichen System- und Produktverst&auml;ndnis schaffen wir technologische L&ouml;sungen entlang der gesamten Wertsch&ouml;pfungskette. Wir besch&auml;ftigen uns mit den Trendthemen Digitalisierung, E-Mobilit&auml;t und Autonome Systeme haupts&auml;chlich f&uuml;r die Branchen Automotive, Luftfahrt, Defence und Maschinenbau und erm&ouml;glichen hier konsequent die Entstehung passgenauer L&ouml;sungen. Unser Ziel: den technologischen Fortschritt beschleunigen und einen relevanten Beitrag zu einer nachhaltigen Zukunft leisten. Daran arbeiten wir jeden Tag &ndash; mit rund 12.000 Mitarbeiterinnen und Mitarbeitern an &uuml;ber 50 Standorten weltweit. 
</div></div></div></div><div><div><div><div>Was Sie erwartet: 
<ul><li>Verantwortlich f&uuml;r die Entwicklung von Softwaretools zur Erfassung von Daten verschiedener Datenlieferanten aus unterschiedlichen Quellen, darunter Datenbanken, Tabellenkalkulationen und Unternehmenssysteme 
</li><li>Bereinigung, Validierung, Kontrolle und Organisation von Datens&auml;tzen f&uuml;r Berichts- und Analysezwecke 
</li><li>Pflege von Datens&auml;tzen und Unterst&uuml;tzung von Data-Governance-Ma&szlig;nahmen 
</li><li>Analyse gro&szlig;er Datens&auml;tze zur Identifizierung von Trends, Mustern und Anomalien 
</li><li>Durchf&uuml;hrung von Analysen zur Bewertung der Qualit&auml;t der Datenlieferanten vor der Freigabe an den Kunden 
</li><li>Unterst&uuml;tzung bei Ad-hoc-Anfragen verschiedener Abteilungen zur Datenanalyse 
</li><li>Entwicklung und Pflege regelm&auml;&szlig;iger Berichte, Dashboards und Leistungs-Scorecards 
</li><li>Pr&auml;sentation von Daten auf klare und visuell ansprechende Weise mithilfe von Diagrammen, Tabellen und Dashboards 
</li><li>Verfolgung von Leistungskennzahlen (KPIs) 
</li><li>Identifizierung von M&ouml;glichkeiten zur Verbesserung von Berichtsprozessen, Datenqualit&auml;t und Analysemethoden 
</li><li>Mitwirkung an der Entwicklung von Datenstandards, Vorlagen und Best Practices 
</li></ul>Was Sie mitbringen:
<ul><li><div>Abgeschlossenes Studium oder vergleichbare Qualifikation im Bereich Datenanalyse, Statistik, Informatik oder einer verwandten Fachrichtung</div>
</li><li><div>Fundierte Kenntnisse in der Analyse und Aufbereitung von Daten</div>
</li><li><div>Grundverst&auml;ndnis im Bereich Informationssysteme von Vorteil</div>
</li><div></div><li>Sicherer Umgang mit Excel bzw. Google Sheets</li>
<li><div>Gute Kenntnisse in SQL zur Datenabfrage und -verarbeitung</div>
</li><li><div>Erfahrung mit BI-Tools wie Power BI oder Tableau</div>
</li><li><div>Programmierkenntnisse in Python oder R zur Datenanalyse und Automatisierung</div>
</li><li>Sehr gute Englisch- und Deutschkenntnisse, Franz&ouml;sisch ist von Vorteil</li>
<li><div>Flexibilit&auml;t und Reisebereitschaft f&uuml;r gelegentliche kurzfristige Dienstreisen</div> 
</li></ul></div></div></div></div><div><div><div><div>Bertrandt legt gro&szlig;en Wert auf Gleichbehandlung und Chancengleichheit. Unsere Recruiting-Entscheidungen basieren auf den Erfahrungen und F&auml;higkeiten der Bewerber*innen. Schwerbehinderte Menschen bzw. gleichgestellte Menschen im Sinne des SGB IX sind herzlich willkommen und werden bei gleicher Eignung bevorzugt eingestellt.
Sie sind interessiert?
Wir freuen uns &uuml;ber Ihre Bewerbung!
</div></div></div></div><div><div><div><div>Benefits: Corporate Benefits, Internes Gesundheitsmanagement, Weiterbildungsangebote, JobRad, Attraktive Verg&uuml;tung
</div></div></div></div><div><div>Kontakt
</div></div><div><div><div><div>Name: Felicitas Furkim
</div></div></div></div><div><div><div><div>Telefon: +49 7034 65612497
</div></div></div></div><div><div>www.bertrandt.com/karriere</div></div></div>

Datenanalyst / Data Engineer (m/w/d)

Simon-Kucher

<div>
 
 In Deutschland
 
 - Berlin | Bonn | Frankfurt/Main | Hamburg | K&ouml;ln | M&uuml;nchen
 
 
 Du willst Praxiserfahrung in einer internationalen Unternehmensberatung sammeln? Bei uns kannst du dein Interesse an Wirtschaftsthemen mit deinen analytischen F&auml;higkeiten verbinden! Werde f&uuml;r mindestens 10 Wochen Teil eines au&szlig;ergew&ouml;hnlichen Teams. Was uns besonders macht: ein starker Unternehmergeist und jede Menge Gestaltungsfreiheit.
 
 
 Der Advanced Analytics Bereich bei Simon-Kucher konzentriert sich auf die Entwicklung von Best-in-Class-Ans&auml;tzen und -Modellen, um mit Hilfe von Machine Learning und Advanced Analytics komplexe Gesch&auml;ftsprobleme zu l&ouml;sen. Bei uns wirst du ein integraler Bestandteil der Projektteams sein, die das Wachstum unserer Kunden vorantreiben. W&auml;hrend deines Praktikums wirst du von unseren erfahrenen Kolleg:innen unterst&uuml;tzt und sammelst themenbezogene praktische Erfahrung.
 
 
 Der fr&uuml;hestm&ouml;gliche Starttermin ist ab Oktober 2026.
 
 
 
 Mehr Von Uns F&uuml;r Dich
 
 
 
 <ul>
 <li>
 Von Anfang an mit dabei: als fester Bestandteil eines Projektteams arbeitest du an spannenden Fragestellungen und nachhaltigen Wachstumsstrategien f&uuml;r unsere Kunden. In einem schnell wachsenden internationalen Unternehmen mit Start-up-Atmosph&auml;re kannst du eine steile Lernkurve erwarten.
 </li>
 <li>
 Pers&ouml;nliche Weiterentwicklung: profitiere von regelm&auml;&szlig;igen Feedbackgespr&auml;chen und bringe deine individuelle Perspektive in unsere Unternehmenskultur ein. Zus&auml;tzlich erh&auml;ltst du einen einj&auml;hrigen kostenfreien Zugang zu LinkedIn Learning, den du auch nach deinem Praktikum nutzen kannst.
 </li>
 <li>
 Du hast die Wahl: entscheide dich f&uuml;r eines unserer deutschen Offices
 </li>
 <li>
 Gut umsorgt: mit gesunden Snacks und Getr&auml;nken in unseren Offices
 </li>
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 Easy von A nach B: profitiere von unserem monatlichen Zuschuss f&uuml;r deine (private) Mobilit&auml;t, nutzbar f&uuml;r Taxi, Bahn, Carsharing u.v.m.
 </li>
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 Gemeinsam feiern: vernetze dich bei regelm&auml;&szlig;igen Mitarbeitenden-Events mit unseren Kolleg:innen
 </li>
 <li>
 Dein Praktikum als Karrierestart: M&ouml;glichkeiten zum Festeinstieg nach deinem Praktikum
 </li>
 <li>
 Gemeinsam wachsen: Nachhaltig und langfristig! Darum dreht sich alles bei Simon-Kucher. Unsere St&auml;rke: ein mitrei&szlig;endes, hoch motiviertes und sympathisches Team. Und jetzt kommst du: mitten hinein in die offene, wertsch&auml;tzende Start-up-Atmosph&auml;re eines etablierten Unternehmens mit 40-j&auml;hriger Erfolgsgeschichte.
 
 
 </li>
 </ul>
 
 Hier Bewegst Du Was
 
 
 
 <ul>
 <li>
 Gemeinsam im Team entwickelst du datenbasierte L&ouml;sungen f&uuml;r vielf&auml;ltige Fragestellungen und nutzt dabei gro&szlig;er Datenmengen als Grundlage.
 </li>
 <li>
 Dar&uuml;ber hinaus bist du ma&szlig;geblich an der Implementierung datenbasierter L&ouml;sungen beteiligt, um unseren Kunden einen echten Mehrwert zu verschaffen.
 </li>
 <li>
 Du arbeitest in unserem interdisziplin&auml;ren Team aus Data Scientists und Data Engineers an der Entwicklung von Dashboards und Data Pipelines f&uuml;r interne und externe Kunden.
 </li>
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 Du ber&auml;tst unsere Kunden bei technologischen Entscheidungen (z.B. wie man robuste ETL-Prozesse und Datenvisualisierungen konzipiert, implementiert und automatisiert).
 </li>
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 Du unterst&uuml;tzt unsere Kunden bei der Realisierung von Data Strategy, Data Governance und Data Processing Projekten.
 </li>
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 Du arbeitest an aktuellen Fragestellungen im Zusammenhang mit Chatbots, GenAI und Machine Learning.
 
 
 </li>
 </ul>
 
 Hiermit Begeisterst Du
 
 
 
 <ul>
 <li>
 Du studierst z.B. (Wirtschafts-) Informatik, Ingenieurwesen, (Wirtschafts-) Mathematik oder &auml;hnliches.
 </li>
 <li>
 Der Umgang mit Python und/oder SQL bereitet dir keinerlei Schwierigkeiten.
 </li>
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 Du hast bereits erste Erfahrung im Arbeiten mit gro&szlig;en Datenmengen gesammelt und bist in der Lage, komplexe Datenbanken aufzubauen und zu pflegen.
 </li>
 <li>
 Idealerweise bringst du auch erste Erfahrungen in der Automatisierung von ETL-Prozessen mit.
 </li>
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 Du verf&uuml;gst &uuml;ber Grundkenntnisse im Umgang mit relationalen Datenbanken und BI-Software (PowerBI, Tableau).
 </li>
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 Du lernst schnell, bist von Natur aus wissbegierig und besitzt die F&auml;higkeit, komplexe Sachverhalte einfach zu erkl&auml;ren.
 </li>
 <li>
 Deine Englisch- und Deutschkenntnisse sind verhandlungssicher.
 
 
 </li>
 </ul>
 Du willst dich gleich bei uns bewerben? Dann schick deine Unterlagen &uuml;ber den &bdquo;Apply now&ldquo;-Button zu uns. Bitte beachte, dass wir aus Datenschutzgr&uuml;nden keine Bewerbungen per E-Mail annehmen k&ouml;nnen. Alle wichtigen Informationen rund um deine Bewerbung findest du in unseren FAQs .
 
 
 Du willst mehr &uuml;ber uns und unsere Unternehmenskultur erfahren? Hier geht&rsquo;s zu unserem Recruiting Video .
 
 
 
 &Uuml;ber Simon-Kucher
 
 
 
 Simon-Kucher ist eine globale Unternehmensberatung mit mehr als 2.200 Mitarbeitenden in &uuml;ber 30 L&auml;ndern. Unser Fokus liegt darauf, nachhaltiges und profitables Wachstum zu erschlie&szlig;en und f&uuml;r unsere Kunden messbare Umsatz- und Ergebnissteigerungen zu realisieren. Als verl&auml;sslicher Partner f&uuml;r Commercial Excellence verbinden wir tiefgehende Beratungsexpertise mit Spezialisierung auf Wachstumsstrategien und technologischer Expertise, um nachhaltige Wertsteigerung zu erm&ouml;glichen. Wir optimieren s&auml;mtliche Hebel der kommerziellen Strategie &ndash; von Produkt, Pricing und Innovation bis hin zu Marketing, Vertrieb und digitalen Gesch&auml;ftsmodellen &ndash; auf Basis fundierter Erkenntnisse zu Kundennutzen und Zahlungsbereitschaft. Mit &uuml;ber 40 Jahren Erfahrung in der Monetarisierung gelten wir als weltweit f&uuml;hrende Beratung f&uuml;r Commercial Growth und Pricing. simon-kucher.com
 
 
 Wir setzen uns f&uuml;r eine Unternehmenskultur ein, die Diversit&auml;t, Gleichstellung und Inklusion f&ouml;rdert &ndash; und damit ein Umfeld der Anerkennung, das individuelle Entfaltung st&auml;rkt und den Beitrag eines jeden Einzelnen w&uuml;rdigt. So k&ouml;nnen wir weitreichende und positive Ver&auml;nderungen bewirken. Wertsch&auml;tzung und Anerkennung bef&auml;higen uns dazu, schneller zu wachsen, innovativer zu arbeiten und nachhaltigere Ergebnisse f&uuml;r alle zu erzielen &ndash; f&uuml;r unsere Teams, unsere Kunden und unser Unternehmen.
 
 
 
 
 
 Deine Pers&ouml;nliche Ansprechpartnerin
 
 
 
 Sina Gassen
 
 
 recruitment.germany(at)simon-kucher.com
 
 
 Bitte reiche deine Bewerbung ausschlie&szlig;lich &uuml;ber den
 
 &ldquo;Apply now&rdquo;-Button ein!
 
 
 
 
 Better growth starts here. With you.
 
</div>

Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)

Mindrift

<div>
 
 Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities
 
 
 
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 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
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 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
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 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
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 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
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 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $37 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
 
 
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
 
 
 
 Requirements
 
 
 
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 At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
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 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
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 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
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 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
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 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
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 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
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 Strong attention to detail and commitment to data accuracy
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 Self-directed work ethic with ability to troubleshoot independently
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 A link to GitHub is a plus
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 English proficiency: Upper-intermediate (B2) or above (required)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
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 Work fully remote on your own schedule with just a laptop and stable internet connection.
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 Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly &mdash; a distinctive skill set in a rapidly growing field.
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 <li>
 Participate in performance-based bonus programs that reward high-quality work and consistent delivery
 </li>
 </ul>
</div>

Freelance Data Scraping Engineer (Python)

Explore 131+ Data engineer in Berlin this July. Find roles across top companies and apply now to boost your career.