analysis engineer

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.
We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake&rsquo;s success as a company. As an Analytics Engineer, you will be responsible for the following:<ul><li>
Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</li><li>
Perform data QA and develop automated testing procedures for use with Snowflake data models</li><li>
Translate reporting, analysis, and automation requirements into data model requirements and specifications</li><li>
Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</li><li>
Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</li><li>
Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</li><li>
Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</li><li>
Build and maintain user friendly documentation for data models and key metrics</li><li>
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</li></ul>
What You Will Need
Required skills:<ul><li>
3+ years of experience working as an analytics, data, or BI engineer</li><li>
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</li><li>
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</li><li>
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</li><li>
Ability to think creatively to solve problems</li><li>
An impulse for introducing structure and simplicity into vague, complex problems</li><li>
An obsession for detail and quality</li><li>
An ability to identify weaknesses in data and process, and a willingness to drive improvement</li><li>
A bias for action</li></ul>
Preferred skills:<ul><li>
Experience with ERP and Financial Planning tools</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience working with CI/CD pipelines</li><li>
Experience leading or working within a scrum, sprint, or other agile framework</li><li>
Past experience supporting product or product finance stakeholders</li><li>
Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports</li><li>
Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)</li><li>
Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $132,000 - $173,000.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Analytics Engineer

Wellster Healthtech Group

<div>We're looking for an Analytics Engineer who enjoys turning raw data into reliable, trusted datasets that drive business decisions. You'll work closely with product, engineering, and business stakeholders to build scalable data models, improve tracking quality, and enable self-service analytics.
This role combines strong SQL skills with analytics engineering best practices and a solid understanding of digital product tracking.
Your tasks would be...<ul><li>
Build, maintain, and optimize scalable data models using dbt</li></ul><ul><li>
Develop reliable, well-documented datasets for reporting and business analysis</li><li>
Write efficient and maintainable SQL queries for complex analytical use cases</li><li>
Maintain and improve event tracking using Google Analytics 4 (GA4)</li><li>
Collaborate closely with Product and Engineering teams to design tracking concepts and ensure high data quality</li><li>
Validate new tracking implementations and investigate data discrepancies</li><li>
Implement and maintain data quality tests and monitoring within dbt</li><li>
Support BI dashboards and reporting by creating trusted and reusable data sources</li><li>
Continuously improve the analytics engineering stack, processes, and best practices</li><li>
Have strong SQL skills and experience working with large-scale datasets</li></ul><ul><li>
Bring hands-on experience with dbt, including models, tests, documentation, and incremental models</li><li>
Have experience implementing and validating Google Analytics 4 (GA4) tracking</li><li>
Understand event-based analytics and digital product measurement</li><li>
Have worked with modern cloud data warehouses such as BigQuery, Snowflake, or Redshift</li><li>
Are familiar with Git and collaborative development workflows</li><li>
Possess strong analytical thinking and problem-solving skills</li><li>
Communicate effectively with both technical and non-technical stakeholders</li><li>
Ideally have experience with orchestration tools such as Airflow, Dagster, or Prefect</li><li>
Have experience with BI platforms such as Looker, Tableau, Power BI, or Metabase</li><li>
Have knowledge of JavaScript or Google Tag Manager for tracking implementations</li><li>
Bring experience with experimentation (A/B testing) and product analytics</li><li>
Are familiar with Python for data processing or automation</li></ul></div>

Analytics Engineer (m/f/d)

Broadcom

<div>Please Note:
1. If you are a first time user, please create your candidate login account before you apply for a job.
2. If you already have a Candidate Account, please Sign-In before you apply.<h2 class="jobSectionHeader">
Job Description:</h2>
Role Overview:
We are seeking a highly skilled and motivated Staff Power Engineer to join our semiconductor design team. In this role, you will be the primary driver for our power strategies, taking full ownership of end-to-end power definition, analysis, and optimization for our next-generation chips. You will work cross-functionally with architecture, RTL design, physical design, and software teams to ensure our products meet strict power and thermal envelopes.
Key Responsibilities:<ul><li>
End-to-End Ownership: Lead the complete power lifecycle for complex SoCs, from early architectural power definition and budgeting to final silicon validation.</li><li>
Power Analysis: Conduct rigorous dynamic and leakage power analysis at various design stages (RTL, Gate-level, Post-layout) using industry-standard EDA tools.</li><li>
Methodology Development: Architect, develop, and maintain advanced power analysis flows, automation scripts, and methodologies to improve accuracy and turnaround time.</li><li>
Reduction &amp; Optimization: Identify power bottlenecks and drive active power reduction strategies (e.g., clock gating, power gating, dynamic voltage and frequency scaling) across micro-architecture, logic, and physical implementation phases.</li><li>
Cross-Functional Collaboration: Partner with the physical design team on power grid (PDN) sign-off and IR/EM drop analysis, and work with systems teams to align on thermal and packaging constraints, including collaborating with the board design team to define power profiles and thermal maps.</li></ul> 
Required Qualifications:<ul><li>
Core Domain Expertise: Proven track record in semiconductor power definition, estimation, and optimization for complex SoCs or high-performance IPs.</li><li>
EDA Tool Proficiency: Strong hands-on experience with industry-standard power analysis and sign-off tools (e.g., Synopsys Pt-PX / PrimePower, Ansys RedHawk, Cadence Joules, or PowerArtist).</li><li>
Low-Power Design Knowledge: Deep understanding of modern low-power design intents and formats (UPF/CPF), CMOS device physics, and power reduction techniques.</li><li>
AI-Assisted Scripting &amp; Methodology: Proficiency in leveraging modern AI coding assistants to rapidly generate, debug, and optimize scripts (Python, Tcl, Perl) for workflow automation and data parsing, shifting focus from manual coding to AI-driven methodology development.</li><li>
Educational Background: Bachelor&rsquo;s (plus 8 years) or Master&rsquo;s degree (plus 6 years) in Electrical Engineering, Computer Engineering, or a related field, with relevant industry experience commensurate with a mid-level/Staff role.</li><li>
Communication Skills: Excellent analytical and problem-solving skills, with the ability to clearly communicate power trade-offs to cross-functional teams and leadership.</li></ul> 
Preferred Qualifications:<ul><li>
Advanced Node Experience: Direct experience taping out designs in advanced semiconductor technology nodes (e.g., 7nm, 5nm, 3nm or below).</li><li>
Thermal/IR Knowledge: Familiarity with thermal modeling, power delivery network (PDN) design, and voltage drop (IR/EM) mitigation.</li><li>
Post-Silicon Validation: Experience correlating pre-silicon power estimates with post-silicon laboratory measurements.</li></ul> 
Compensation and Benefits 
The annual base salary range for this position is USD 121,900.00 To USD 195,000.00 
As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements. 
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence. 
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law. 
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.</div>

Staff Semiconductor Power Engineer (ICB4)

Lendable

<div><h2 class="jobSectionHeader">About Lendable</h2>
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:<ul><li>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</li><li>
Among the fastest-growing tech companies in the UK</li><li>
Profitable since 2017</li><li>
Backed by top investors including Balderton Capital and Goldman Sachs</li><li>
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</li></ul>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers&rsquo; hands in minutes instead of days.
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.<h2 class="jobSectionHeader">
Join us if you want to</h2><ul><li>
Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</li><li>
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</li><li>
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting</li></ul><h2 class="jobSectionHeader">
About the role</h2>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.<h2 class="jobSectionHeader">
What you'll be doing</h2><ul><li>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</li><li>
Championing standards and contributing to the improvement of our analytics engineering culture.</li><li>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</li><li>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</li></ul><h2 class="jobSectionHeader">
Our modern data stack</h2>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.<h2 class="jobSectionHeader">
What we're looking for</h2>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.
More specifically, we&rsquo;re looking for:<ul><li>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</li><li>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</li><li>
Experience with Snowflake or another modern cloud data warehouse.</li><li>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</li><li>
A collaborative working style and clear communication across technical and non-technical stakeholders.</li><li>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</li></ul><h2 class="jobSectionHeader">
Interview process</h2><ul><li>
Initial call with an engineer</li><li>
15 minute Cognitive Assessment</li><li>
Onsite or Video Interview lasting 90 minutes, comprising of:<ul><li>
Introduction of the team and kind of work you could be doing daily</li><li>
Interactive architecture/design exercise</li><li>
Questions you may have about the company, role, etc.</li></ul></li><li>
A 60 minute chat with this role's primary stakeholders<ul><li>
Cultural/behavioural questions</li><li>
Product mindset and ability to collaborate and communicate</li></ul></li></ul><h2 class="jobSectionHeader">
Life at Lendable</h2><ul><li>
Winning team: the opportunity to scale up one of the world&rsquo;s most successful fintech companies</li><li>
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</li><li>
Socials &amp; connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls</li><li>
Health coverage: support for your physical and mental wellbeing, including private health cover</li><li>
Retirement &amp; savings: long-term financial wellbeing through retirement savings plans</li><li>
Employee referral programme: earn a competitive bonus when you refer successful new team members</li><li>
Office meals &amp; snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</li><li>
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</li></ul>
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!</div>

FUNKE Mediengruppe

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 b33b22e2/bddce8bf-5060-4b5d-bc5a-8.jpg
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FUNKE gehört zu den führenden Arbeitgebern der Medienbranche. Von Online-Portalen über Zeitungen und Zeitschriften bis hin zu Radio und Podcast – die Vielfalt unserer Titel, Marken und Genres ist einzigartig in der deutschen Medienlandschaft. Genauso vielfältig sind auch die Talente unserer rund 1.700 Journalist*innen und 2.800 Medienmacher*innen, die jeden Tag in ganz Deutschland mit Leidenschaft und Innovationskraft die Zukunft der Medien mitgestalten. #wirsindFUNKE
 
Standort: 
Berlin, DE Hamburg, DE
 
#job-location.job-location-inline { display: inline; }
 
Als Analytics Engineer (m/w/d) trägst Du maßgeblich zur Gestaltung unserer datengetriebenen Projekte bei und spielst eine Schlüsselrolle in unserem Team. Zur Verstärkung unseres Teams in Berlin oder Hamburg suchen wir Dich als
 
Analytics Engineer (m/w/d)
 DEINE AUFGABEN
 Als Mitglied des Data Subscription Teams bist Du verantwortlich für alles rund um das Thema Analytics Engineering: Transformation von Rohdaten zur Nutzung im Reporting und der Marketing Automation für unser Zeitungsgeschäft digital und traditionell
 Du arbeitest eng mit den Data Analysts/Scientists/Engineers Deines Teams zusammen und bringst Deine Expertise und kreativen Lösungen ein, um datenbasierte Optimierungsstrategien zu entwickeln
 Nach Deiner Einarbeitung wirst Du verantwortlich für zwei Topics und trägst damit entscheidend zu unserem Geschäftserfolg bei
 Du entwickelst und implementierst eigenständig Data Pipelines in der Google Cloud Platform und nutzt dbt, SQL, Github und andere Tools
 Als Expert*in im Datawarehouse kümmerst Du Dich auch um die Datenpflege, die Struktur der Datenmodelle sowie um die Kostenoptimierungen
 DEIN PROFIL
 Du hast eine Leidenschaft für Daten und Interesse am Vertriebsgeschäft regionaler Tageszeitungen
 Du besitzt Erfahrung als Analytics Engineer/Data Analyst sowie fortgeschrittene Kenntnisse in SQL und bringst idealerweise Kenntnisse in Python oder weiteren Programmiersprachen mit
 Deine Begeisterung für technische Innovationen und Deine ausgeprägte Fähigkeit, Dich zügig und effektiv in neue technologische Systeme und Tools einzuarbeiten, sind wesentliche Stärken, die Du in unser Team einbringst
 Auf Dich kann man sich verlassen, Du übernimmst gerne Verantwortung und Ownership ist für Dich nicht nur eine Floskel
 Du bringst neben fließendem Deutsch auch Offenheit, Kommunikationsstärke und Teamfähigkeit mit
 Eine sorgfältige Arbeitsweise und hohe Eigenmotivation runden Dein Profil ab
 DEINE BENEFITS
 Innovation trifft Tradition: Du gestaltest die digitale Transformation unserer Mediengruppe mit
 Entwickle Dich mit uns: Wir ermöglichen Dir die Teilnahme an individuellen Coachings, Workshops oder (Online)-Trainings im Rahmen unserer FUNKE Akademie
 Flexibel arbeiten: Wir leben ein hybrides Arbeitsmodell, weil uns Deine Work-Life-Balance wichtig ist
 Teamwork: Dich erwarten ein dynamisches Team, eine offene Feedbackkultur, kurze Kommunikationswege und ein herzliches Miteinander
 Corporate Benefits: Wir bieten Dir ein Benefit-Portal mit attraktiven Rabatten und Abos
 Halte Dich fit und gesund: Profitiere von unseren Kooperationen mit verschiedensten Fitnessstudios und lasse Dich für Deine mentale und körperliche Gesundheit individuell beraten
 
Haben wir Dein Interesse geweckt? Dann gestalte mit uns die Zukunft und sende uns Deine Bewerbung an Steffen Flach.
 
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Wir bei FUNKE schätzen Vielfalt und begrüßen daher alle Bewerbungen – unabhängig von Geschlecht / geschlechtlicher Identität, Nationalität, ethnischer oder sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung.

Analytics Engineer (m/w/d)

Royal Botanic Gardens Kew

<div><h1 class="jobSectionHeader">Analytics Engineer</h1>
<div>
We are looking for a proactive and highly capable hands-on Analytics Engineer with strong Microsoft Azure Synapse and Python engineering experience to develop, manage and optimise Kew&rsquo;s commercial data platform, pipelines and analytical data assets.

This role is critical to delivering Kew&rsquo;s Customer and Supporter Data Strategy. You will build and maintain scalable, high quality data assets that enable better understanding of our audiences, support personalised engagement, enable insight and AI use cases and drive commercial income growth. You will operate within Kew&rsquo;s wider data platform strategy to deliver robust data solutions ensuring that the data is trusted, well-governed and fit-for-purpose for decision making.</div>
<div>
<div><div>Hours of work</div>
<div>Full time</div>
</div><div><div>Contract Type</div>
<div>Permanent</div>
</div><div><div>Salary</div>
<div>&pound;61,337 per year [Band F7]</div>
</div><div><div>Directorate</div>
<div>Marketing &amp; Commercial Enterprise</div>
</div><div><div>Location</div>
<div>Kew Gardens, Richmond, Hybrid</div>
</div><div><div>Closing Date
</div><div>15/07/2026
</div></div><div><div>Documents</div>
<div><ul><li>Employee Benefits - RBG Kew 2024.pdf 
(PDF, 279.26kb)</li>
<li>Job Profile.pdf 
(PDF, 217.55kb)</li>
</ul></div></div></div><div><div>print this job
</div><div></div><div>Apply for this role
</div><div>Send to a Friend</div>
</div><h2 class="jobSectionHeader">More details</h2>

We are looking for a proactive and highly capable hands-on Analytics Engineer with strong Microsoft Azure Synapse and Python engineering experience to develop, manage and optimise Kew&rsquo;s commercial data platform, pipelines and analytical data assets.

This role is critical to delivering Kew&rsquo;s Customer and Supporter Data Strategy. You will build and maintain scalable, high quality data assets that enable better understanding of our audiences, support personalised engagement, enable insight and AI use cases and drive commercial income growth.

You will operate within Kew&rsquo;s wider data platform strategy to deliver robust data solutions ensuring that the data is trusted, well-governed and fit-for-purpose for decision making. You have a curious mindset and are passionate about exploring data, transforming and integrating data from different sources. You enjoy trouble shooting and optimising data processes to improve data quality and reliability. You like working as part of a team and collaborating with stakeholders.

If you enjoy problem solving, automation, efficiency improvements and working in an environment where not everything is established, this role is for you.

This role has a dotted line to the Lead Data Platform Engineer in the IT directorate. 


The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth.
<div>
We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history.

Join us on our journey as protectors of the world&rsquo;s plants and fungi.

The salary for this position is &pound;61,337 per year [Band F7]

Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst.

If you are interested in this position, please submit your application through the online portal, by clicking &ldquo;Apply for this job&rdquo;.

Please note that the interviews will be provisionally held on 29th July 2026.
<div>
At Kew, our strength lies in the diversity of our people and the insights they bring. When you join us, you will find an organisation that values your perspective and lived experience. You will receive support to achieve your full potential and access opportunities to develop and progress. Our commitment to equity, diversity, and inclusion is ongoing, shaped by the people who work here and the communities we serve. As a disability confident employer, we are breaking down barriers to be an inclusive workplace for everyone.

Whoever you are, and however you experience the world, there is a place for you to grow and belong at Kew.
</div>
No agencies please.</div></div>

Enza Zaden

<div>As a Senior Analytics Engineer, you make an impact by strengthening data-driven decision-making across Enza Zaden worldwide. You develop scalable data solutions and translate complex challenges into valuable insights that help teams perform better.
Make a difference as Senior Analytics Engineer
As Senior Analytics Engineer, you play a key role in enabling data-driven decision-making across Enza Zaden worldwide. You design, build and maintain scalable data models and analytics products that empower self-service BI for teams across the organization. Working closely with product owners, analytics engineers, IT specialists and business stakeholders, you translate complex requirements into reliable solutions on the global data platform. Your impact is visible in better insights, improved processes and stronger data maturity across departments.
In this role, your work will include:<ul><li>
Designing, developing and maintaining advanced data models and analytics products using tools like Databricks, dbt and Power BI;</li><li>
Leading complex analytics and reporting initiatives with a mid- to long-term horizon;</li><li>
Translating business needs into scalable, well-governed data solutions in collaboration with stakeholders and product owners;</li><li>
Improving data quality, reliability, performance and cost efficiency through lifecycle management;</li><li>
Ensuring compliance with architecture, security and access standards together with IT, Architecture and Security teams;</li><li>
Coaching colleagues and contributing to knowledge sharing, user enablement and adoption of data solutions.</li></ul>
What you bring as our future colleague
As Senior Analytics Engineer, you bring strong ownership and a strategic yet pragmatic mindset. You know how to translate complex business questions into actionable data solutions and use your technical expertise to deliver scalable, high-quality results. You communicate effectively with stakeholders across different levels and guide teams in using data more effectively. You are comfortable working independently while also fostering collaboration and growth within the team. In addition, you have:<ul><li>
A Master's degree (WO) with 6&ndash;8 years of relevant experience in analytics, reporting or data engineering;</li><li>
Strong knowledge of data modelling, analytics and data transformation techniques;</li><li>
Hands-on experience with Azure (DP203), Databricks, SQL, dbt, Power BI, DAX and Git;</li><li>
Experience with DevOps practices such as version control, testing and CI/CD for data products;</li><li>
Understanding of scalability, architecture principles and data platform lifecycle management;</li><li>
Strong communication, stakeholder management and coaching skills.</li></ul>
Enza Zaden as your employer
Enza Zaden is an international family-owned company that has been developing innovative vegetable varieties since 1938. Together with more than 3,300 colleagues worldwide, we work on vegetable seeds with better flavor, higher yields and strong resistances. We do this from our mission: &ldquo;Breeding to feed the world.&rdquo; Every day, more than 480 million people eat vegetables grown from our seeds, and that is something we are very proud of.
We are passionate about our work and care about one another. Good ideas are given room to grow and together we keep moving forward. This is how we continue to grow and innovate, both as a company and as colleagues.
What you can expect from us
We believe it is important that you can grow in your work and feel good about what you do. That is why we invest in your development, well-being, and job satisfaction. Through our Great to Grow development program, our focus on vitality, and activities that bring colleagues together, we create a work environment where you can keep learning and contribute with energy and enjoyment.
You can also count on:<ul><li>
A position for 32-38 hours per week;</li><li>
A gross monthly salary between &euro; 5.103,90 and &euro; 7.291,28, based on a full-time workweek of 38 hours and aligned with your knowledge and experience;</li><li>
8.33% vacation allowance and an attractive annual bonus program of 10% of your annual salary, depending on your job level and company performance;</li><li>
25 vacation days, the option to purchase additional vacation days, and one paid vitality day per year, with extra vacation days granted as you get older;</li><li>
A laptop and mobile phone provided by Enza Zaden;</li><li>
A contribution toward overnight accommodation costs if you live farther away from Enza Zaden. This program applies to employees working for Enza Zaden in the Netherlands whose one-way commute exceeds 100 kilometers and 75 minutes;</li><li>
An attractive retirement plan, commuting reimbursement if you live more than 10 kilometers from your workplace and a remote work allowance when working partly from home in consultation with your manager;</li><li>
Opportunities for personal and professional growth through our Great to Grow development program, training courses, workshops, and e-learning platform;</li><li>
Plenty of opportunities to connect with colleagues outside of your daily work through social events organized by the Staff Association, as well as Young Enza networking events, inspiration sessions, and social gatherings. We also host an annual summer barbecue, Christmas market and New Year&rsquo;s reception;</li><li>
A strong focus on your health and well-being, including free fresh fruit, healthy lunch options at the office, a bike-to-work program, sports activities through enzActive, and mental well-being support through OpenUp.</li></ul>
Let&rsquo;s connect
Looking for a career that grows with you? Apply using the application button. You will receive an automatic confirmation within a few minutes. We will let you know the next step within 10 business days.
This role cannot be filled on an interim basis.
Do you have questions about the role or the application process? Please feel free to contact Sandra Hoeneveld, Corporate Recruiter, s.hoeneveld-blekkink@enzazaden.nl.
Enza Zaden is an equal opportunity employer and does not discriminate based on background, identity, or personal characteristics.
Want to learn more about Enza Zaden? Visit our website.</div>

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