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Senior Data Analytics Engineer Position in Porto - Nitro Software


Job description

About Us:

A global SaaS leader for seamless digital document workflows, Nitro offers a suite of solutions for PDF, eSigning, identity verification and analytics supported by a best-in-class customer success and change management team.

With more than 3 million licensed users and 13,000+ business customers across 157 countries, we serve 67% of the Fortune 500.

How We Work:

We aim to create an environment where talented individuals are empowered to excel.

How we collaborate, innovate, and engage with one another is important to us.

Our work is driven by 5 key principles:

  • One team, One mission
    Our collective dedication to Nitro's mission defines us.

    Together, we are building an environment where everyone feels like a valued part of something bigger than themselves.
  • Own it
    We take full ownership of our actions and decisions.

    We empower one another to lead with confidence, creativity, and a solutions-focused mindset.
  • Accountable to our customers
    We are dedicated to our customers and take our commitments seriously.

    We do what we say we are going to do.
  • Excellence in execution
    Driven by passion and precision, we exemplify excellence in our delivery with innovative, top-quality results.
  • Be bold, fail fast, learn faster
    We learn as we grow, dare to try, and bravely question.

    We are not chasing perfection but forever iterating towards it.
  • These guiding values shape our approach to work, fostering a culture where everyone is inspired to contribute their best.

    Why Nitro Engineering:

    Engineering is a critical function at Nitro, developing the products and services at the heart and soul of our business today, and helping us realize our vision of smarter documents in the future.

    We have an incredibly talented and diverse Engineering team that cares, with a strong culture that believes in building the right things and building them the right way.

    The Role :

    We're looking for a Senior Analytics Engineer to join our Data Science & Analytics team in Porto.

    You will leverage your expertise in both Data Engineering and Data Science to design and build robust data pipelines, manage ETL workflows, and enable efficient data accessibility across the organization.

    In addition to engineering capabilities, you will apply your analytical skills to perform quick data analyses, deliver actionable insights, and support data-driven decision-making.

    This role requires a strong technical foundation to implement scalable data solutions as well as a data science mindset to build predictive models, explore data trends, and address complex business challenges.

    What you'll be doing :

  • Delivering actionable business insights through in-depth analysis
  • Performing analysing and building data models to optimise sales and marketing predictions and activities
  • Partnering with Data Engineers and Product teams to define and maintain robust data structures that support seamless analysis and product instrumentation strategies.
  • Working with massive data sets, you will build strong domain knowledge and help identify gaps in our data
  • Designing, developing, and operating data pipelines to provide high quality datasets to internal and external customers.
  • Working with other engineering teams to design product instrumentation strategies
  • Using state of the art, cloud based technologies primarily on AWS
  • Helping to establish best practice in data engineering
  • Mentoring more junior team members
  • Identifying how to use AI to drive our vision of making documents smarter

  • What we're looking for:

  • 5+ years of experience in data/software engineering
  • Familiarity with Python and Scala
  • Strong SQL skills and experience extracting datasets from disparate sources
  • A strong background in statistical analysis and data mining
  • Experience working with open problem statements and mapping business problems into data analysis opportunities
  • Experience with analysis and visualization tools (such as Jupyter notebooks, Zeppelin, Superset, QuickSight, Tableau, etc.)
  • Enthusiasm, passion, strong collaboration skills and a desire to explore large datasets
  • Traits that will distinguish the ultimate candidate:

  • Independence and autonomy as regard data modelling and working beside and within Engineering environments
  • Experience with version control and data modelling environments (e.g. DBT)
  • Experience with large-scale data processing frameworks (e.g. Spark, EMR, Hadoop) and data pipelines (e.g. AWS data pipelines)
  • Experience with event driven and streaming architectures (e.g. Kafka, Spark-Streaming, Flink, Akka Streams)
  • Production experience with a functional programming language (particularly Scala, but also Clojure, Haskell, Erlang, …)
  • Experience managing a data warehouse (ideally Snowflake)
  • Working knowledge of a cloud environment (ideally AWS)
  • Experience of configuration as code, i.e., Terraform
  • Experience in Micro-service architectures, RESTful services and integrating with third party services.
  • Working knowledge of containers and container orchestration (Kubernetes) and Kubernetes layered software, e.g., ArgoCD
  • A DevOps mindset
  • Why Nitro?


    Along with our regular benefits and programs (including health, dental, vision, and retirement as standard), we are also very proud to offer a few additional initiatives to future Nitronauts: 

    Hybrid Work   
    Our team embraces the hybrid work model, appreciating its blend of flexibility and structure.

    We combine three days of in-person collaboration at our global offices in Toronto, Dublin, Antwerp, Porto, and Melbourne with the convenience of two days of remote work each week.

    Families @ Nitro 
    We have the opportunity and responsibility to ensure the well-being of our employees, which includes offering support when and where it matters most.

    From generous leave to fertility benefits, Nitro supports team members who may be on or considering a path to parenthood, whatever that looks like.

    Company-Wide Recharge Week We understand the importance of taking time off, which is why we have a Recharge Week every January.

    It's a time when everyone takes a break together, making it easier for all of us to relax and refresh for the year ahead.

     
    Nitro strongly encourages applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

    We provide an accessible candidate experience and invite you to request any accommodations or adjustments throughout the interview process and beyond.#LI_EC1

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Senior Data Potential: Insight & Career Growth Guide


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    Are You Looking for Senior Data Analytics Engineer Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Nitro Software adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Portugal laws and regulations

    What Is the Average Salary Range for Senior Data Analytics Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Porto. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Senior Data Analytics Engineer?

    Key qualifications for Senior Data Analytics Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Senior Data Analytics Engineer?

    To improve your chances of getting hired for Senior Data Analytics Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Senior Data Analytics Engineer Job Success

    Nitro Software interview tips for Senior Data Analytics Engineer

    Here are some tips to help you prepare for and ace your Senior Data Analytics Engineer job interview:

    Before the Interview:

    Research: Learn about the Nitro Software's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Senior Data Analytics Engineer interview at Nitro Software, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Nitro Software's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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