About Cint
Solicitar este puesto es sencillo. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición.Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world's largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.
We are feeding the world's curiosity!
Senior Business Intelligence Engineer (6‐Month Fixed‐Term Contract)As a Senior BI Engineer (6-Month Fixed-Term Contract), you will lead the design and development of our data visualization ecosystem and analytical frameworks. You will work closely with stakeholders across the organization to transform raw data into actionable insights, ensuring high data quality and scalable reporting solutions.
Core Responsibilities
Pipeline & Data Modeling: Design, build, and maintain scalable automated data pipelines (ETL/ELT) and data models that support complex analytical requirements.
Strategic Visualization: Develop sophisticated dashboards and reporting tools that provide "at-a-glance" insights for executive leadership and deep-dive capabilities for analysts.
Data Governance: Establish and enforce best practices for data documentation, metadata management, and data quality assurance to ensure "one source of the truth."
Performance Optimization: Audit and optimize SQL queries and dashboard performance to ensure low‐latency access to large datasets.
Stakeholder Partnership: Act as a technical consultant to non‐technical departments, helping them define Key Performance Indicators (KPIs) and translate business questions into technical requirements.
Mentorship: Lead code reviews and mentor junior engineers on data modeling techniques and visualization best practices.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, or a related quantitative field.
5+ years of experience in BI engineering, data engineering, or a highly technical analytics role.
Practical experience working with data from multiple, disparate systems and successfully aligning them into unified, high-integrity data models within a modern data warehouse.
Deep practical experience in data warehousing principles, proven experience working with cloud data warehouses such as Databricks (preferred), Snowflake or BigQuery.
Strong understanding of dimensional modeling (Star/Snowflake schemas) and modern data stack tools (e.g., dbt).
Expert‐level SQL skills (complex joins, window functions, and performance tuning).
Deep expertise in at least one enterprise BI platform Omni and/or Power BI.
Proven analytical and creative design skills, with the ability to translate complex problem‐solving and system designs into clear narratives for audiences ranging from entry‐level employees to senior leadership.
Ability to thrive in a team‐oriented, fast‐paced environment while managing multiple concurrent projects and shifting priorities seamlessly as business needs evolve.
Nice-to-Have Qualifications
Experience with version control systems (Git) and CI/CD workflows.
Experience working in an Agile/Scrum environment.
Experience working in a global team.
Experience working 100% remote.
Experience in the ResTech industry.
Experience with Salesforce.
Knowledge of statistical analysis and machine learning concepts.
Experience with Tableau, Looker, or Sigma.
Our Values
Collaboration is our superpower
We uncover rich perspectives across the world
Success happens together
We deliver across borders.
Innovation is in our blood
We're pioneers in our industry
Our curiosity is insatiable
We bring the best ideas to life.
We do what we say
We're accountable for our work and actions
Excellence comes as standard
We're open, honest and kind, always.
We are caring
We learn from each other's experiences
Stop and listen; every opinion matters
We embrace diversity, equity and inclusion.
More About CintWe're proud to be recognised in Newsweek's 2025 Global Top 100 Most Loved Workplaces, reflecting our commitment to a culture of trust, respect, and employee growth.
In June 2021, Cint acquired Berlin‐based GapFish – the world's largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US‐based Lucid – a programmatic research technology platform that provides access to first‐party survey data in over 110 countries.
Cint Group AB (publ), listed on Nasdaq Stockholm, has grown into a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney.
Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.
Senior Machine Learning Engineer (12‐Month Contract, Europe Remote‐Friendly)Signify has partnered with a key client who is looking for a Senior Machine Learning Engineer to work with a product‐led tech company, building and scaling a core AI & ML platform used across customer‐facing products.
What You'll Do
Own the end‐to‐end ML lifecycle (CI/CD, deployment, monitoring, retraining).
Build and scale production ML systems (real‐time & batch).
Design ML infrastructure on AWS (Python‐first).
Implement monitoring, drift detection, and model lineage.
Work closely with Data Scientists & Data Engineers.
What We're Looking For
Senior experience as a Machine Learning Engineer with a strong MLOps focus.
Solid understanding of ML systems design & lifecycle.
Comfortable working across data and engineering teams.
Data science background is a plus. xiphteb
GenAI experience nice to have, not essential.
If you are interested in this role, please reach out to me.
#J-18808-Ljbffr