Senior Data Engineer Bardi

Senior Data Engineer
Bardi
Emilia Romagna, Bardi

We're looking for a passionate, bright, and driven Data Engineer eager to bring our data-related technologies to the next level.

About Growens As one of the top players in cloud marketing technologies, at Growens Group we're working to be an internationally recognized innovator.

Our Group is growing at an impressive rate in pursuing this vision, and our continued success will largely depend on the IT solution we implement.

Your Impact As a Senior Data Engineer , reporting directly to the Group Data & Analytics Manager, you will be a key part of a talented and successful Data&Analytics department that works together to drive and optimize performance, storing and constantly retrieving, visualizing, and analyzing large amounts of data.

A few examples of your responsibilities: Developing and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity, implementing spark, sparkSQL, and ANSI SQL jobs Driving Automation through effective metadata management: using innovative and modern tools, techniques and architectures to automate the most common, repeatable, and tedious data preparation and integration tasks Collaborating with analytics and business teams to improve data models that feed BI tools, increasing data accessibility.

Implementing processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes.

Writing unit/integration tests , contributes to engineering wiki, and documents work Performing data analysis required to troubleshoot data-related issues and assist in the resolution of data issues Designing data integrations and data quality framework to ensure that each tool produces the data needed for analysis Participating in ensuring compliance and governance during data use by applying what is required by law or internal policy What we Offer Make a difference: you'll make a huge contribution to the growth of Growens.

Learn and grow: you'll be working closely with the management team, so you'll be supported and coached regularly along your experience Flexibility: trust is one of our values, we strongly believe on results, no matter how many hours you spend in the office International environment: we are an international reality with 2 Business Units in different countries and different cultures Your choice of equipment: Choose between a PC or Mac laptop, plus monitor and accessories.

Competitive salary & incentives: Tailored to your experience and location, with incentives to reward your impact.

Remote flexibility: Work from various locations with flexibility that fits your lifestyle.

Recharge time: Take at least three weeks of vacation per year to recharge.

REST Program: Standardized time-off options, including Parental, Caregiving, Sick, Sabbatical, Bereavement, and Volunteering Leave, promoting work-life balance and inclusivity.

European team retreats: Join us for annual retreats, with 2025 planned for sunny Southern Spain.

Professional development: Access industry-leading resources, tools, and events for growth and development.

Supplementary Pension: Amundi plan with company match Tech stack we use : Apache Spark in Scala for big data processing on AWS EMR Data ingestion with Iceberg tables written into S3 buckets Code versioning and collaboration via Bitbucket Continuous Integration/Continuous Delivery (CI/CD) pipelines defined with AWS CodePipeline and CodeBuild Data exploration with AWS Athena and EMR Studio Notebooks TIBCO Data Virtualization (TDV) for data abstraction and virtualization across diverse sources Advanced analytics with AWS SageMaker for machine learning, and MLflow for tracking experiments and managing models.

What we are looking for: Passion: You have a long-standing, proven passion for data design, cleanup, and transformation.

It's a big plus if you have a demonstrated interest in data analytics or building tools Open-mindedness: you embrace change and love to learn and keep up to date.

You value other people's points of view and you love to debate ideas, brainstorm, collaborate and evangelize Drive: You're energetic, hard-working, and persevere through adversity until the job is done well.

You get turned on by getting results and always aim for excellence in what you do.

Problem-solving : you have fantastic troubleshooting skills and truly enjoy finding the cause behind a specific problem, explaining it to others, and working with others to find a solution Reliability and organization : you enjoy getting things done, and people always look at you as a dependable team member when tasks are assigned Proficiency in English: you read, write, and speak proficiently in English Preferred Qualifications: Best practices and IT operations in an always-up, always-available service BS or MS degree in Computer Science or a related technical field 4+ years of experience as a data engineer 3+ years of Spark and Scala/Java development experience 4+ years of SQL experience (No-SQL experience is a plus) 3+ years of experience with schema design and dimensional data modeling Experience designing, building, and maintaining data processing pipeline Good English Knowledge (B2 written and spoken) Nice to have: Cloud environment (AWS - the one we use -, Google, Azure) DevOps concept familiarity (containers, IAAC, CI/CD, monitoring) Experience in Python development Experience with the Datalakehouse paradigm and technologies Experience with Tibco Data Virtualization Experience working with either a Map Reduce or an MPP system on any size/scale Experience automating Artificial Intelligence pipelines Location Milan, Cremona, or Remote (based in Italy) Type of contract this is a permanent full-time position Growens is an equal-opportunity employer and values diversity.

We do not discriminate on the basis of ethnicity, gender, ancestry, colour, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, or any other basis protected by law.