We are smava – the online credit comparison platform. We make loans transparent, fair and affordable! With more than 300.000 satisfied customers, we are one of the biggest FinTech companies in Germany. Become now part of our vision to shape the digital future of the consumer loan market!

The Data Platform team provides data infrastructure and services to our entire organisation, facilitating effortless data-driven decision-making across teams and departments, while ensuring speed, safety, and security.

WHAT YOU WILL BE DOING

• Maintain, develop, and modernize the data platform
• Design and implement data models (e.g. Data Vault)
• Build scalable batch and streaming data pipelines
• Collaborate cross-functionally with Business Analysts, Analytics Engineers, Data Scientists, and other fellow Data Engineers
• Ensure data reliability, quality, and performance across the systems
• Continuously improve our infrastructure using best practices and automation

OUR TECH STACK

• AWS (Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, etc.)
• Data Engineering: Python, dbt, Dagster, Matillion
• Infrastructure: Terraform, Docker, CI/CD
• Other tools: Segment, Linux, Tableau
• You can find more insights about the team's work on these articles published on AWS and Dagster

YOUR PROFILE

• A solution-driven mindset with strong ownership mentality, a passion for self-learning and continuous improvement
• 2+ years of experience as a data engineer or in a similar role
• Good understanding of cloud infrastructure and data warehousing (ideally AWS and Amazon Redshift)
• Skills in both data streaming and batch-processing
• Experience with orchestration tools (e.g., Airflow, Dagster) and ETL/ELT frame works (ideally dbt)
• Experience coding in Python (or similar programming language) in a production environment
• Familiar with CI/CD, containerization (e.g. Docker, ECS), and working in Linux environments

Nice-to-Haves:

• Knowledge of Data Vault, Kimball, Inmon principles
• Experience with BI tools (preferably Tableau)
• Familiarity with modern data architecture (e.g. data lakes, data lakehouses, data mesh)

WHAT WE OFFER

• Our team comes from over 50 nations and you can expect an open and dynamic working environment with plenty of room for your further development
• We actively work to create a diverse and inclusive work environment by sharing our different skills, ideas and experiences as a team and representing diversity within the company
• For your personal development, we offer internal career programs, further training opportunities and language courses (German)
• A modern equipped office with roof terrace, lounge and much more
• We value our successes and celebrate them through regular events, such as the Company Lunch, the Table Tennis Tournament or our Summer Party
• Get your lunch delivered right to the office and save at the same time through the subsidy from smava
• Your rest is important to us so we offer 30 days of vacation, parents benefit from 10-child sick days in addition to the statutory entitlement
• To support your physical and mental health, we offer collaborations with sports providers and weekly sports activities in our office
• We support social projects and subsidize your ticket for public transport so that you can get to your destination in an environmentally conscious way
• Enjoy exclusive offers from a large number of brands and secure the best prices when buying through our Corporate Benefits partnership
• With smava you are secured in your old age and benefit from a subsidized company pension plan

Interested?

Then apply online in just a few clicks via the application button). Simply upload your CV (preferably as PDF file) and we’ll get back to you as soon as possible.

All applications are accepted exclusively via the application form.

Contact:  Felipe Alemany (felipe.alemany@smava.de)

At smava we celebrate diversity and stand for an environment that represents a variety of backgrounds, perspectives and skills. We're committed to equal employment and development opportunities regardless of gender identity or expression, race, religion, age, sexual orientation, colour, disability, culture or place of origin.

Do you want to learn more about us?

Visit our career page:https://jobs.smava.de/

#LI-Hybrid

If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other.

Please note that candidates must be located in Germany and have a valid work permit to be considered.  This is a German based role for native German speakers (and English C1).  

What You’ll Do

• Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
• Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data

What You’ll Need

Must-Haves:

• Excellent SQL fluency
• Strong ETL proficiency using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Passion for delivering compelling solutions that exceed client expectations
• Excellent verbal and written communication
• Strong problem-solving skills
• Business acumen
• A thirst to learn
• Adaptability and flexibility in changing situations
• Strong written and oral communication skills, able to communicate at English and German proficiency at C1 level

What We’d Like You to Have

• Experience with software engineering practices
• Experience with modern data-engineering practices and frameworks
• Experience with integration from semi-structured file and API sources
• Matillion, Fivetran, dbt or other ETL tools
• AWS / Microsoft Azure cloud exposure
• Snowflake / Databricks / Amazon Redshift / Google BigQuery / Azure Synapse

What We Offer

• Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location 
• You want to keep your carbon footprint small? So do we! That's why every employee in Germany gets a Bahncard 50
• We want you to stay healthy, which is why our employees can enjoy a Wellness Benefit worth €1100 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
• Windows or Mac? 13 inch or 15 inch? Lightweight or heavy-duty? You know what works best for you. Therefore our employees have a wide choice of equipment for their home office, as well as a contribution towards standing desk equipment
• Tech Allowance. To help create the right home environment for you to be comfortable and efficient while working, we offer a Tech Allowance to cover accessories and furniture.
• We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues’ individual charitable passions with dedicated time off for volunteering
• Competitive salaries with room for advancement. Expected Salary range: €60-100K

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Arbeite in einem Team aus erfahrenen Daten- und KI-Architekten im Data & AI Platform Architecture für die Entwicklung skalierbarer Datenplattformen und KI-gestützter Unternehmensarchitekturen, um die Unternehmen in datengetriebene Organisationen transformieren
• Gestalte innovative Projekte zur Daten- und KI-Transformation in Unternehmen entlang der gesamten Datenwertschöpfungskette: Von der Datenstrategie über Governance, Architekturdesign und Plattformentwicklung bis hin zur Implementierung und Automatisierung datengetriebener Geschäftsprozesse
• Übernimm Verantwortung für strategische und technologische Arbeitspakete in Transformationsprojekten, die Unternehmen dabei unterstützen, eine moderne, skalierbare und zukunftssichere Datenarchitektur zu etablieren
• Mapping von Datenmanagement-Technologien und -Fähigkeiten auf Geschäftsprozesse und Use Cases und Entwicklung strategischer Datenplattformen zur effizienten Nutzung und Verwaltung von Unternehmensdaten

Dein Profil

• Einen herausragenden Studienabschluss mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung, wie zum Beispiel MINT, Wirtschaftsinformatik, Statistik/Data Science
• 4-5 Jahre praktische Projekterfahrung in der Konzeption und Umsetzung von in Daten und KI-architektur, Data & KI Plattformen oder Data Engineering
• Fundierte Erfahrungen in Enterprise Data & AI Management, Strategie & Governance sowie idealerweise in einem oder mehreren der folgenden Bereiche: Data Governance, Datenkatalog, Datenintegration, Datenmodellierung, Datenarchitektur, Datenprodukten, Datenqualität und Datenmanagement
• Kenntnis oder Zertifizierung von DCAM oder DAMA wäre optional
• Fundierte Kenntnisse von etablierten Cloud-Infrastrukturen (z. B. AWS, Azure, GCP) und/ oder von Analytics & Data Platform Architecture, insbesondere mit Snowflake, Databricks, Google BigQuery, Redshift und/oder Data Governance-Technologien (z. B. Collibra, Informatica)
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Fähigkeit, strukturiert und präzise in Wort und Schrift zu kommunizieren in komplexen technischen und geschäftlichen Zusammenhängen
• Tiefes Verständnis für datengetriebene Transformation, KI-gestützte Geschäftsmodelle, Data-Driven Decision Making und Agentic AI
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Managementberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Arbeit an strategischen und technologischen Datenprojekten mit globalen Unternehmen
• Kollaboration mit internationalen Teams und führenden Experten im Bereich Data & AI
• Transparente Karriereperspektiven mit klaren Entwicklungspfaden
• Individuelles Training & Weiterbildung durch unser globales Expertennetzwerk
• Flexible Arbeitsmodelle und moderne Work-Life-Balance

Über Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, generative KI, Cloud und Daten sowie profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2024 einen Umsatz von 22,1 Milliarden Euro.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in Germany, who is bilingual in English and German.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements 
• Other compulsory benefits based on country of residence

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

#LI-YD1

#LI-Hybird